From 2553bce7ae3bc6d2513fbe077d8fc113f63a2df9 Mon Sep 17 00:00:00 2001 From: Steven Ge Date: Sun, 20 Apr 2025 17:31:45 -0500 Subject: [PATCH] R package working --- .Rbuildignore | 6 + .gitignore | 2 +- DESCRIPTION | 17 + LICENSE | 2 + NAMESPACE | 3 + R/datamap-package.R | 6 + R/main_app.R | 582 +++++ R/mod_code_generation.R | 2 +- R/utilities.R | 30 +- README.md | 2 +- app.R | 595 +---- {data => extdata}/RNAseq.csv | 0 {data => extdata}/RNAseq_design.csv | 0 {data => extdata}/RNAseq_gene_info.csv | 0 {data => extdata}/countries.csv | 0 {data => extdata}/iris.csv | 0 {data => extdata}/iris_column_annot.csv | 0 {data => extdata}/scRNAseq_PCA.csv | 0 {data => extdata}/scRNAseq_clusters.csv | 0 inst/extdata/RNAseq.csv | 467 ++++ inst/extdata/RNAseq_design.csv | 3 + inst/extdata/RNAseq_gene_info.csv | 467 ++++ inst/extdata/countries.csv | 21 + inst/extdata/iris.csv | 151 ++ inst/extdata/iris_column_annot.csv | 3 + inst/extdata/scRNAseq_PCA.csv | 2701 ++++++++++++++++++++++ inst/extdata/scRNAseq_clusters.csv | 2702 +++++++++++++++++++++++ inst/www/countries.png | Bin 0 -> 99258 bytes inst/www/countries_label.png | Bin 0 -> 156672 bytes inst/www/google_analytics.html | 9 + inst/www/heatmap.png | Bin 0 -> 33939 bytes inst/www/help.html | 773 +++++++ inst/www/pca.png | Bin 0 -> 18662 bytes inst/www/tsne.png | Bin 0 -> 29243 bytes man/create_dr_plot.Rd | 54 + man/datamap-package.Rd | 15 + man/datamap_resource.Rd | 18 + man/process_column_annotations.Rd | 24 + man/process_row_annotations.Rd | 34 + man/run_app.Rd | 19 + man/transform_server.Rd | 19 + man/transform_ui.Rd | 17 + 42 files changed, 8166 insertions(+), 578 deletions(-) create mode 100644 DESCRIPTION create mode 100644 LICENSE create mode 100644 NAMESPACE create mode 100644 R/datamap-package.R create mode 100644 R/main_app.R rename {data => extdata}/RNAseq.csv (100%) rename {data => extdata}/RNAseq_design.csv (100%) rename {data => extdata}/RNAseq_gene_info.csv (100%) rename {data => extdata}/countries.csv (100%) rename {data => extdata}/iris.csv (100%) rename {data => extdata}/iris_column_annot.csv (100%) rename {data => extdata}/scRNAseq_PCA.csv (100%) rename {data => extdata}/scRNAseq_clusters.csv (100%) create mode 100644 inst/extdata/RNAseq.csv create mode 100644 inst/extdata/RNAseq_design.csv create mode 100644 inst/extdata/RNAseq_gene_info.csv create mode 100644 inst/extdata/countries.csv create mode 100644 inst/extdata/iris.csv create mode 100644 inst/extdata/iris_column_annot.csv create mode 100644 inst/extdata/scRNAseq_PCA.csv create mode 100644 inst/extdata/scRNAseq_clusters.csv create mode 100644 inst/www/countries.png create mode 100644 inst/www/countries_label.png create mode 100644 inst/www/google_analytics.html create mode 100644 inst/www/heatmap.png create mode 100644 inst/www/help.html create mode 100644 inst/www/pca.png create mode 100644 inst/www/tsne.png create mode 100644 man/create_dr_plot.Rd create mode 100644 man/datamap-package.Rd create mode 100644 man/datamap_resource.Rd create mode 100644 man/process_column_annotations.Rd create mode 100644 man/process_row_annotations.Rd create mode 100644 man/run_app.Rd create mode 100644 man/transform_server.Rd create mode 100644 man/transform_ui.Rd diff --git a/.Rbuildignore b/.Rbuildignore index c503c4f..1e56ebd 100644 --- a/.Rbuildignore +++ b/.Rbuildignore @@ -1 +1,7 @@ ^\.github$ +^\.git$ +^app\.R$ +^README\.md$ +^\.Rproj\.user$ +^extdata$ +^www$ diff --git a/.gitignore b/.gitignore index 7617d4e..9f0075d 100644 --- a/.gitignore +++ b/.gitignore @@ -2,4 +2,4 @@ .Rhistory .RData .Ruserdata -/test data +/test data \ No newline at end of file diff --git a/DESCRIPTION b/DESCRIPTION new file mode 100644 index 0000000..904778b --- /dev/null +++ b/DESCRIPTION @@ -0,0 +1,17 @@ +Package: datamap +Title: Interactive Visualization of Data Matrices +Version: 0.1.0 +Authors@R: person("Steven", "Ge", email = "Xijin.Ge@sdstate.edu", role = c("aut", "cre")) +Description: A Shiny application for visualizing data matrices with heatmaps, PCA, and t-SNE. + Allows users to upload, transform, and visualize their data interactively. +License: MIT + file LICENSE +Encoding: UTF-8 +LazyData: true +Roxygen: list(markdown = TRUE) +RoxygenNote: 7.3.2 +Imports: + shiny, + pheatmap, + readxl, + Rtsne, + stats diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000..506c070 --- /dev/null +++ b/LICENSE @@ -0,0 +1,2 @@ +YEAR: 2025 +COPYRIGHT HOLDER: Steven Ge diff --git a/NAMESPACE b/NAMESPACE new file mode 100644 index 0000000..2fc780c --- /dev/null +++ b/NAMESPACE @@ -0,0 +1,3 @@ +# Generated by roxygen2: do not edit by hand + +export(run_app) diff --git a/R/datamap-package.R b/R/datamap-package.R new file mode 100644 index 0000000..f5ac63c --- /dev/null +++ b/R/datamap-package.R @@ -0,0 +1,6 @@ +#' @keywords internal +"_PACKAGE" + +## usethis namespace: start +## usethis namespace: end +NULL \ No newline at end of file diff --git a/R/main_app.R b/R/main_app.R new file mode 100644 index 0000000..f54b489 --- /dev/null +++ b/R/main_app.R @@ -0,0 +1,582 @@ +# DataMap: A Shiny app for visualizing data matrices with heatmaps, PCA, and t-SNE +# by Steven Ge 4/5/2025 + +#' Run the DataMap Shiny application +#' +#' @export +#' +#' @return A Shiny application object +#' @examples +#' if (interactive()) { +#' run_app() +#' } +run_app <- function() { + +library(shiny) + + +max_rows_to_show <- 1000 # Maximum number of rows to show row names in the heatmap +default_width <- 600 +default_height <- 600 + +ui <- fluidPage( + + sidebarLayout( + sidebarPanel( + width = 3, + + # Place Upload Files and Reset buttons on the same row + fluidRow( + column(6, + actionButton("show_upload_modal", "Files", + icon = icon("upload")) + ), + column(6, + conditionalPanel( + condition = "output.data_loaded", + actionButton("reset_session", "Reset", + icon = icon("refresh"), + style = "background-color: #f8d7da; color: #721c24;") + ) + ) + ), + + conditionalPanel( + condition = "output.data_loaded", + fluidRow( + column(8, transform_ui("transform"), style = "margin-top: 5px;"), + column(4, uiOutput("transform_status"), style = "margin-top: 5px;") + ) + ), + + # Dynamic UI for selecting row annotation columns + conditionalPanel( + condition = "output.row_annotation_available", + uiOutput("row_annotation_select_ui") + ), + conditionalPanel( + condition = "output.col_annotation_uploaded", + uiOutput("col_annotation_select_ui") + ), + + # Heatmap customization section - only shown after data is loaded and Heatmap tab is active + conditionalPanel( + condition = "output.data_loaded && input['main_tabs'] === 'Heatmap'", + hr(), + # Use the heatmap control UI function from the module + heatmap_control_ui("heatmap") + ), + + # PCA and t-SNE plot control section - only shown when those tabs are active + conditionalPanel( + condition = "output.data_loaded && (input['main_tabs'] === 'PCA' || input['main_tabs'] === 't-SNE')", + hr(), + h4("Plot Settings"), + + # Font size control + fluidRow( + column(3, p("Font:", style = "padding-top: 7px; text-align: right;")), + column(9, sliderInput("global_fontsize", NULL, min = 5, max = 30, value = 12)) + ), + + # Width & Height controls + fluidRow( + column(3, p("Width:", style = "padding-top: 7px; text-align: right;")), + column(9, sliderInput("global_width", NULL, min = 200, max = 2000, value = 600, step = 20)) + ), + + fluidRow( + column(3, p("Height:", style = "padding-top: 7px; text-align: right;")), + column(9, sliderInput("global_height", NULL, min = 200, max = 2000, value = 500, step = 20)) + ) + ) + ), + + mainPanel( + width = 9, + tabsetPanel(id = "main_tabs", selected = "About", + tabPanel("Heatmap", + # Use the heatmap module UI + heatmap_ui("heatmap") + ), + tabPanel("PCA", + pca_plot_ui("pca") + ), + tabPanel("t-SNE", + tsne_plot_ui("tsne") + ), + tabPanel("Code", + code_generation_ui("code_gen") + ), + tabPanel("Data", + fluidRow( + column(12, + div(style = "overflow-x: auto;", + tableOutput("data_preview") + ), + downloadButton("download_data", "Transformed Data") + ) + ) + ), + tabPanel("About", + titlePanel("DataMap: a portable app for visualizing data matrices v0.11"), + img(src = "heatmap.png", width = "375px", height = "300px"), + img(src = "pca.png", width = "384px", height = "329px"), + img(src = "countries_label.png", width = "401px", height = "300px"), + img(src = "tsne.png", width = "335px", height = "300px"), + #img(src = "countries.png", width = "286px", height = "300px"), + includeHTML(datamap_resource("www/help.html")) + ) + ) + #,tags$head(includeHTML("www/google_analytics.html")) + ) + ) +) + +server <- function(input, output, session) { + + # Track if main data is loaded for UI conditionals + output$data_loaded <- reactive({ + return(file_data$data_loaded()) + }) + outputOptions(output, "data_loaded", suspendWhenHidden = FALSE) + + # Switch to Heatmap tab when data is loaded + observe({ + if (file_data$data_loaded()) { + updateTabsetPanel(session, "main_tabs", selected = "Heatmap") + } + }) + + # Show the modal when the button is clicked + output$main_file_upload_ui <- renderUI({ + if (!is.null(file_data$data())) { + # If data is already uploaded + tags$div( + style = "padding: 15px; background-color: #f8f9fa; border-radius: 4px; text-align: center;", + tags$p( + icon("info-circle"), + "Reset the app to upload a new data matrix.", + style = "margin: 0; color: #495057;" + ) + ) + } else { + tags$div( + tags$h4("Data file (Excel, CSV, ...)"), + file_upload_ui("file_upload"), + fluidRow( + column(2, h5("Examples:", style = "margin-top: -8px; text-align: right;")), + column(10, + downloadButton("download_countries", "Countries", style = "margin-top: -15px;"), + downloadButton("download_rnaseq", "RNAseq", style = "margin-top: -15px;"), + downloadButton("download_iris", "Iris", style = "margin-top: -15px;"), + downloadButton("download_scrnaseq", "scRNAseq", style = "margin-top: -15px;"), + align = "left" + ) + ) + ) + } + }) + + observeEvent(input$show_upload_modal, { + showModal(modalDialog( + title = "Upload Files", + + uiOutput("main_file_upload_ui"), + + hr(), + tags$div( + tags$h4("Optional: Column Annotation"), + file_upload_ui("col_annotation_file_upload"), + fluidRow( + column(2, h5("Examples:", style = "margin-top: -8px; text-align: right;")), + column(10, + downloadButton("download_col_rnaseq", "RNA-seq factors", style = "margin-top: -15px;"), + downloadButton("download_col_iris", "Iris column info", style = "margin-top: -15px;"), + align = "left" + ) + ) + ), + hr(), + tags$div( + tags$h4("Optional: Row Annotations"), + file_upload_ui("row_annotation_file_upload"), + fluidRow( + column(2, h5("Examples:", style = "margin-top: -8px; text-align: right;")), + column(10, + downloadButton("download_row_rnaseq", "RNAseq gene info", style = "margin-top: -15px;"), + downloadButton("download_row_scrnaseq", "scRNAseq clusters", style = "margin-top: -15px;"), + align = "left" + ) + ) + ), + + footer = tagList( + modalButton("Close") + ), + size = "m", + easyClose = TRUE + )) + }) + + output$download_iris <- downloadHandler( + filename = function() { + "iris.csv" + }, + content = function(file) { + file.copy(datamap_resource("extdata/iris.csv"), file) + } + ) + output$download_rnaseq <- downloadHandler( + filename = function() { + "RNAseq.csv" + }, + content = function(file) { + file.copy(datamap_resource("extdata/RNAseq.csv"), file) + } + ) + + output$download_scrnaseq <- downloadHandler( + filename = function() { + "scRNAseq_PCA.csv" + }, + content = function(file) { + file.copy(datamap_resource("extdata/scRNAseq_PCA.csv"), file) + } + ) + output$download_countries <- downloadHandler( + filename = function() { + "countries.csv" + }, + content = function(file) { + file.copy(datamap_resource("extdata/countries.csv"), file) + } + ) + output$download_col_rnaseq <- downloadHandler( + filename = function() { + "RNAseq_design.csv" + }, + content = function(file) { + file.copy(datamap_resource("extdata/RNAseq_design.csv"), file) + } + ) + output$download_col_iris <- downloadHandler( + filename = function() { + "iris_column_annot.csv" + }, + content = function(file) { + file.copy(datamap_resource("extdata/iris_column_annot.csv"), file) + } + ) + output$download_row_rnaseq <- downloadHandler( + filename = function() { + "RNAseq_gene_info.csv" + }, + content = function(file) { + file.copy(datamap_resource("extdata/RNAseq_gene_info.csv"), file) + } + ) + output$download_row_scrnaseq <- downloadHandler( + filename = function() { + "scRNAseq_clusters.csv" + }, + content = function(file) { + file.copy(datamap_resource("extdata/scRNAseq_clusters.csv"), file) + } + ) + # Use the file upload module for main data + file_data <- file_upload_server("file_upload") + + # Use a separate file upload module for the column annotation file + col_annotation_file_data <- file_upload_server("col_annotation_file_upload") + + # Use a separate file upload module for the row annotation file + row_annotation_file_data <- file_upload_server("row_annotation_file_upload") + + # Reactive to indicate if column annotation file is uploaded + output$col_annotation_uploaded <- reactive({ + !is.null(col_annotation_file_data$data()) + }) + outputOptions(output, "col_annotation_uploaded", suspendWhenHidden = FALSE) + + output$row_annotation_available <- reactive({ + has_uploaded <- !is.null(row_annotation_file_data$data()) + has_factors <- !is.null(transform_data$factor_columns()) && + ncol(transform_data$factor_columns()) > 0 + return(has_uploaded || has_factors) + }) + outputOptions(output, "row_annotation_available", suspendWhenHidden = FALSE) + + # Render UI for column annotation row selection + output$col_annotation_select_ui <- renderUI({ + req(col_annotation_file_data$data()) + annot_df <- col_annotation_file_data$data() + row_choices <- rownames(annot_df) + if (is.null(row_choices) || length(row_choices) == 0) { + row_choices <- as.character(seq_len(nrow(annot_df))) + } + selectInput("col_annotation_select", "Column annotation:", + choices = row_choices, selected = row_choices[1], + multiple = TRUE) + }) + + # Render UI for row annotation column selection (merged from both sources) + output$row_annotation_select_ui <- renderUI({ + all_choices <- c() + default_selected <- c() + + # Get choices from uploaded row annotation file + if (!is.null(row_annotation_file_data$data())) { + uploaded_choices <- colnames(row_annotation_file_data$data()) + if (!is.null(uploaded_choices) && length(uploaded_choices) > 0) { + all_choices <- c(all_choices, uploaded_choices) + # Select first uploaded column by default + default_selected <- c(default_selected, uploaded_choices[1]) + } + } + + # Get choices from auto-detected factor columns + if (!is.null(transform_data$factor_columns()) && + ncol(transform_data$factor_columns()) > 0) { + factor_choices <- colnames(transform_data$factor_columns()) + if (!is.null(factor_choices) && length(factor_choices) > 0) { + all_choices <- c(all_choices, factor_choices) + # Select all factor columns by default + default_selected <- c(default_selected, factor_choices) + } + } + + # Remove any duplicates + all_choices <- unique(all_choices) + default_selected <- unique(default_selected) + + # Create the selectInput if we have any choices + if (length(all_choices) > 0) { + tags$div(style = "margin-top: 5px;", + selectInput("row_annotation_select", "Row annotations:", + choices = all_choices, selected = default_selected, multiple = TRUE)) + } else { + return(NULL) + } + }) + + # Use the transform module + transform_data <- transform_server("transform", reactive({ + file_data$data() + })) + + initial_loading <- reactiveVal(TRUE) + # Create a reactive that provides the main data for processing. + current_data <- reactive({ + # If there's no data uploaded yet, return NULL + if (is.null(file_data$data())) { + return(NULL) + } + + # During initial loading, don't show heatmap if transform dialog is open + if (initial_loading() && !transform_data$modal_closed()) { + return(NULL) + } + + # Once transformation is applied for the first time, mark initial loading as complete + if (transform_data$has_transformed()) { + initial_loading(FALSE) + } + + # Return appropriate data based on transformation state + if (!is.null(transform_data$processed_data()) && transform_data$has_transformed()) { + return(transform_data$processed_data()) + } else { + return(file_data$data()) + } + }) + + # Show transform status + output$transform_status <- renderUI({ + if (transform_data$has_transformed()) { + tags$div( + icon("check-circle"), + style = "color: green; margin-top: 7px;" + ) + } else { + tags$div( + icon("info-circle"), + style = "color: grey; margin-top: 7px;" + ) + } + }) + + # Modified reactive function that matches original behavior + col_annotation_for_heatmap <- reactive({ + req(current_data()) + + # Check if we have annotation data + if (is.null(col_annotation_file_data$data())) { + return(NULL) + } + + # Get annotation data + annot_df <- col_annotation_file_data$data() + main_cols <- colnames(current_data()) + selected <- input$col_annotation_select + + # Process annotations using the extracted function + process_column_annotations( + main_data_cols = main_cols, + annotation_df = annot_df, + selected_annotations = selected + ) + }) + + row_annotation_for_heatmap <- reactive({ + req(current_data()) + + # Get selected annotations + selected <- input$row_annotation_select + + # Get main data rows + main_rows <- rownames(current_data()) + + # Get file annotation data + file_annot_df <- NULL + if (!is.null(row_annotation_file_data$data())) { + file_annot_df <- row_annotation_file_data$data() + } + + # Get factor annotation data + factor_annot_df <- NULL + if (!is.null(transform_data$factor_columns()) && + ncol(transform_data$factor_columns()) > 0) { + factor_annot_df <- transform_data$factor_columns() + } + + # Process annotations using the utility function + process_row_annotations( + main_data_rows = main_rows, + file_annotation_df = file_annot_df, + factor_annotation_df = factor_annot_df, + selected_annotations = selected + ) + }) + + + # Create reactives for font size, width, and height to ensure availability for PCA and t-SNE + fontsize_for_plots <- reactive({ + if (!is.null(input$global_fontsize)) input$global_fontsize else 12 + }) + width_for_plots <- reactive({ + if (!is.null(input$global_width)) input$global_width else default_width + }) + height_for_plots <- reactive({ + if (!is.null(input$global_height)) input$global_height else default_height + }) + + # Use the heatmap module + heatmap_results <- heatmap_server( + "heatmap", + current_data, + file_data, + transform_data$unprocessed_data, + col_annotation_for_heatmap, + row_annotation_for_heatmap, + transform_data, + max_rows_to_show, + default_width, + default_height + ) + + observeEvent(input$reset_session, { + # Create a modal dialog asking for confirmation + showModal(modalDialog( + title = "Confirm Reset", + "This will clear all loaded data and reset the application to its initial state. Continue?", + footer = tagList( + modalButton("Cancel"), + actionButton("confirm_reset", "Reset", class = "btn-danger") + ), + easyClose = TRUE + )) + }) + + # Handle confirmation + observeEvent(input$confirm_reset, { + # Close the confirmation dialog + removeModal() + + # Reload the page to reset the session + session$reload() + }) + + pca_results <- pca_plot_server( + "pca", + current_data, + col_annotation_for_heatmap, + row_annotation_for_heatmap, + fontsize_for_plots, # Use our reactive + width_for_plots, # Use our reactive + height_for_plots # Use our reactive + ) + + tsne_results <- tsne_plot_server( + "tsne", + current_data, + col_annotation_for_heatmap, + row_annotation_for_heatmap, + fontsize_for_plots, # Use our reactive + width_for_plots, # Use our reactive + height_for_plots # Use our reactive + ) + + code_gen_results <- code_generation_server( + "code_gen", + file_data, + transform_data, + heatmap_results, + pca_results, + tsne_results, + col_annotation_file_data, + row_annotation_file_data + ) + + output$data_preview <- renderTable({ + req(current_data()) + data <- current_data() + + # Ensure data is a data frame + if (!is.data.frame(data)) { + data <- as.data.frame(data) + } + + # Limit to 30 rows and 30 columns + max_rows <- min(30, nrow(data)) + max_cols <- min(30, ncol(data)) + + # Get the row indices and column indices + row_indices <- seq_len(max_rows) + col_indices <- seq_len(max_cols) + + # Create a preview version of the data + preview_data <- data[row_indices, col_indices, drop = FALSE] + + # Return the preview with row names preserved + preview_data + }, rownames = TRUE, colnames = TRUE, bordered = TRUE, width = "100%", + digits = 3, align = 'c') + + + # Download handler for the data + output$download_data <- downloadHandler( + filename = function() { + paste0("transformed_data-", format(Sys.time(), "%Y%m%d-%H%M%S"), ".csv") + }, + content = function(file) { + data <- current_data() + write.csv(data, file, row.names = TRUE) + } + ) +} + +# Run the application +shinyApp(ui = ui, server = server) + +} \ No newline at end of file diff --git a/R/mod_code_generation.R b/R/mod_code_generation.R index 47f72ab..e98e523 100644 --- a/R/mod_code_generation.R +++ b/R/mod_code_generation.R @@ -22,7 +22,7 @@ code_generation_server <- function(id, file_data, transform_data, heatmap_result # Initialize an empty vector to store code parts code_parts <- c() - utilities_file <- "R/utilities.R" + utilities_file <- datamap_resource("R/utilities.R") if (file.exists(utilities_file)) { utilities_code <- readLines(utilities_file) code_parts <- c(delimiter, "# Utilty functions", utilities_code, "") diff --git a/R/utilities.R b/R/utilities.R index d892108..947351c 100644 --- a/R/utilities.R +++ b/R/utilities.R @@ -179,7 +179,6 @@ create_dr_plot <- function(coords_data, x_label, y_label, point_annot = NULL, fo #' If there are no annotations selected, no common samples between datasets, or if all annotations fail to process, the function returns NULL. #' #' -#' @export process_column_annotations <- function(main_data_cols, annotation_df, selected_annotations) { # Check if annotation rows are selected if (is.null(selected_annotations) || length(selected_annotations) == 0) { @@ -324,4 +323,33 @@ process_row_annotations <- function(main_data_rows, } return(combined_annot) +} + + +#' Find resource files for datamap +#' +#' @param path Path to the resource within the package +#' @return The full path to the resource file +#' @keywords internal +datamap_resource <- function(path) { + # First check if we're running in app directory + app_path <- file.path(".", path) + if (file.exists(app_path)) { + return(app_path) + } + + # Then check inst/ directory during development + dev_path <- file.path("inst", path) + if (file.exists(dev_path)) { + return(dev_path) + } + + # Finally check installed package location + system_path <- system.file(path, package = "datamap") + if (system_path != "") { + return(system_path) + } + + # Fallback for packages not yet installed (development) + file.path("inst", path) } \ No newline at end of file diff --git a/README.md b/README.md index 1822832..f37d1df 100644 --- a/README.md +++ b/README.md @@ -3,7 +3,7 @@ To use this app, just visit this static [GitHub page](https://gexijin.github.io/datamap/) deployed from this repo via Actions. For large datasets, install it as an R package for local execution: ```{R} install.packages("remotes") -remotes::install_github("gexijin/datamap", ref = "rPackage", upgrade = "never") +remotes::install_github("gexijin/datamap", upgrade = "never") DataMap::run_datamap() ``` diff --git a/app.R b/app.R index f1abbd2..6dab4da 100644 --- a/app.R +++ b/app.R @@ -1,575 +1,22 @@ -# DataMap: A Shiny app for visualizing data matrices with heatmaps, PCA, and t-SNE -# by Steven Ge 4/5/2025 -library(shiny) +#' Run the DataMap Shiny application +#' +#' @export +#' +#' @return A Shiny application object +#' @examples +#' if (interactive()) { +#' run_datamap() +#' } +#' + +source(datamap_resource("R/utilities.R")) +source(datamap_resource("R/mod_file_upload.R")) +source(datamap_resource("R/mod_transform.R")) +source(datamap_resource("R/mod_pca.R")) +source(datamap_resource("R/mod_tsne.R")) +source(datamap_resource("R/mod_heatmap.R")) +source(datamap_resource("R/mod_code_generation.R")) +source(datamap_resource("R/main_app.R")) + +run_app() -source("R/utilities.R") -source("R/mod_file_upload.R") -source("R/mod_transform.R") -source("R/mod_pca.R") -source("R/mod_tsne.R") -source("R/mod_heatmap.R") -source("R/mod_code_generation.R") - -max_rows_to_show <- 1000 # Maximum number of rows to show row names in the heatmap -default_width <- 600 -default_height <- 600 - -ui <- fluidPage( - - sidebarLayout( - sidebarPanel( - width = 3, - - # Place Upload Files and Reset buttons on the same row - fluidRow( - column(6, - actionButton("show_upload_modal", "Files", - icon = icon("upload")) - ), - column(6, - conditionalPanel( - condition = "output.data_loaded", - actionButton("reset_session", "Reset", - icon = icon("refresh"), - style = "background-color: #f8d7da; color: #721c24;") - ) - ) - ), - - conditionalPanel( - condition = "output.data_loaded", - fluidRow( - column(8, transform_ui("transform"), style = "margin-top: 5px;"), - column(4, uiOutput("transform_status"), style = "margin-top: 5px;") - ) - ), - - # Dynamic UI for selecting row annotation columns - conditionalPanel( - condition = "output.row_annotation_available", - uiOutput("row_annotation_select_ui") - ), - conditionalPanel( - condition = "output.col_annotation_uploaded", - uiOutput("col_annotation_select_ui") - ), - - # Heatmap customization section - only shown after data is loaded and Heatmap tab is active - conditionalPanel( - condition = "output.data_loaded && input['main_tabs'] === 'Heatmap'", - hr(), - # Use the heatmap control UI function from the module - heatmap_control_ui("heatmap") - ), - - # PCA and t-SNE plot control section - only shown when those tabs are active - conditionalPanel( - condition = "output.data_loaded && (input['main_tabs'] === 'PCA' || input['main_tabs'] === 't-SNE')", - hr(), - h4("Plot Settings"), - - # Font size control - fluidRow( - column(3, p("Font:", style = "padding-top: 7px; text-align: right;")), - column(9, sliderInput("global_fontsize", NULL, min = 5, max = 30, value = 12)) - ), - - # Width & Height controls - fluidRow( - column(3, p("Width:", style = "padding-top: 7px; text-align: right;")), - column(9, sliderInput("global_width", NULL, min = 200, max = 2000, value = 600, step = 20)) - ), - - fluidRow( - column(3, p("Height:", style = "padding-top: 7px; text-align: right;")), - column(9, sliderInput("global_height", NULL, min = 200, max = 2000, value = 500, step = 20)) - ) - ) - ), - - mainPanel( - width = 9, - tabsetPanel(id = "main_tabs", selected = "About", - tabPanel("Heatmap", - # Use the heatmap module UI - heatmap_ui("heatmap") - ), - tabPanel("PCA", - pca_plot_ui("pca") - ), - tabPanel("t-SNE", - tsne_plot_ui("tsne") - ), - tabPanel("Code", - code_generation_ui("code_gen") - ), - tabPanel("Data", - fluidRow( - column(12, - div(style = "overflow-x: auto;", - tableOutput("data_preview") - ), - downloadButton("download_data", "Transformed Data") - ) - ) - ), - tabPanel("About", - titlePanel("DataMap: a portable app for visualizing data matrices v0.11"), - img(src = "heatmap.png", width = "375px", height = "300px"), - img(src = "pca.png", width = "384px", height = "329px"), - img(src = "countries_label.png", width = "401px", height = "300px"), - img(src = "tsne.png", width = "335px", height = "300px"), - #img(src = "countries.png", width = "286px", height = "300px"), - includeHTML("www/help.html") - ) - ) - #,tags$head(includeHTML("www/google_analytics.html")) - ) - ) -) - -server <- function(input, output, session) { - - # Track if main data is loaded for UI conditionals - output$data_loaded <- reactive({ - return(file_data$data_loaded()) - }) - outputOptions(output, "data_loaded", suspendWhenHidden = FALSE) - - # Switch to Heatmap tab when data is loaded - observe({ - if (file_data$data_loaded()) { - updateTabsetPanel(session, "main_tabs", selected = "Heatmap") - } - }) - - # Show the modal when the button is clicked - output$main_file_upload_ui <- renderUI({ - if (!is.null(file_data$data())) { - # If data is already uploaded - tags$div( - style = "padding: 15px; background-color: #f8f9fa; border-radius: 4px; text-align: center;", - tags$p( - icon("info-circle"), - "Reset the app to upload a new data matrix.", - style = "margin: 0; color: #495057;" - ) - ) - } else { - tags$div( - tags$h4("Data file (Excel, CSV, ...)"), - file_upload_ui("file_upload"), - fluidRow( - column(2, h5("Examples:", style = "margin-top: -8px; text-align: right;")), - column(10, - downloadButton("download_countries", "Countries", style = "margin-top: -15px;"), - downloadButton("download_rnaseq", "RNAseq", style = "margin-top: -15px;"), - downloadButton("download_iris", "Iris", style = "margin-top: -15px;"), - downloadButton("download_scrnaseq", "scRNAseq", style = "margin-top: -15px;"), - align = "left" - ) - ) - ) - } - }) - - observeEvent(input$show_upload_modal, { - showModal(modalDialog( - title = "Upload Files", - - uiOutput("main_file_upload_ui"), - - hr(), - tags$div( - tags$h4("Optional: Column Annotation"), - file_upload_ui("col_annotation_file_upload"), - fluidRow( - column(2, h5("Examples:", style = "margin-top: -8px; text-align: right;")), - column(10, - downloadButton("download_col_rnaseq", "RNA-seq factors", style = "margin-top: -15px;"), - downloadButton("download_col_iris", "Iris column info", style = "margin-top: -15px;"), - align = "left" - ) - ) - ), - hr(), - tags$div( - tags$h4("Optional: Row Annotations"), - file_upload_ui("row_annotation_file_upload"), - fluidRow( - column(2, h5("Examples:", style = "margin-top: -8px; text-align: right;")), - column(10, - downloadButton("download_row_rnaseq", "RNAseq gene info", style = "margin-top: -15px;"), - downloadButton("download_row_scrnaseq", "scRNAseq clusters", style = "margin-top: -15px;"), - align = "left" - ) - ) - ), - - footer = tagList( - modalButton("Close") - ), - size = "m", - easyClose = TRUE - )) - }) - - output$download_iris <- downloadHandler( - filename = function() { - "iris.csv" - }, - content = function(file) { - file.copy("data/iris.csv", file) - } - ) - output$download_rnaseq <- downloadHandler( - filename = function() { - "RNAseq.csv" - }, - content = function(file) { - file.copy("data/RNAseq.csv", file) - } - ) - - output$download_scrnaseq <- downloadHandler( - filename = function() { - "scRNAseq_PCA.csv" - }, - content = function(file) { - file.copy("data/scRNAseq_PCA.csv", file) - } - ) - output$download_countries <- downloadHandler( - filename = function() { - "countries.csv" - }, - content = function(file) { - file.copy("data/countries.csv", file) - } - ) - output$download_col_rnaseq <- downloadHandler( - filename = function() { - "RNAseq_design.csv" - }, - content = function(file) { - file.copy("data/RNAseq_design.csv", file) - } - ) - output$download_col_iris <- downloadHandler( - filename = function() { - "iris_column_annot.csv" - }, - content = function(file) { - file.copy("data/iris_column_annot.csv", file) - } - ) - output$download_row_rnaseq <- downloadHandler( - filename = function() { - "RNAseq_gene_info.csv" - }, - content = function(file) { - file.copy("data/RNAseq_gene_info.csv", file) - } - ) - output$download_row_scrnaseq <- downloadHandler( - filename = function() { - "scRNAseq_clusters.csv" - }, - content = function(file) { - file.copy("data/scRNAseq_clusters.csv", file) - } - ) - # Use the file upload module for main data - file_data <- file_upload_server("file_upload") - - # Use a separate file upload module for the column annotation file - col_annotation_file_data <- file_upload_server("col_annotation_file_upload") - - # Use a separate file upload module for the row annotation file - row_annotation_file_data <- file_upload_server("row_annotation_file_upload") - - # Reactive to indicate if column annotation file is uploaded - output$col_annotation_uploaded <- reactive({ - !is.null(col_annotation_file_data$data()) - }) - outputOptions(output, "col_annotation_uploaded", suspendWhenHidden = FALSE) - - output$row_annotation_available <- reactive({ - has_uploaded <- !is.null(row_annotation_file_data$data()) - has_factors <- !is.null(transform_data$factor_columns()) && - ncol(transform_data$factor_columns()) > 0 - return(has_uploaded || has_factors) - }) - outputOptions(output, "row_annotation_available", suspendWhenHidden = FALSE) - - # Render UI for column annotation row selection - output$col_annotation_select_ui <- renderUI({ - req(col_annotation_file_data$data()) - annot_df <- col_annotation_file_data$data() - row_choices <- rownames(annot_df) - if (is.null(row_choices) || length(row_choices) == 0) { - row_choices <- as.character(seq_len(nrow(annot_df))) - } - selectInput("col_annotation_select", "Column annotation:", - choices = row_choices, selected = row_choices[1], - multiple = TRUE) - }) - - # Render UI for row annotation column selection (merged from both sources) - output$row_annotation_select_ui <- renderUI({ - all_choices <- c() - default_selected <- c() - - # Get choices from uploaded row annotation file - if (!is.null(row_annotation_file_data$data())) { - uploaded_choices <- colnames(row_annotation_file_data$data()) - if (!is.null(uploaded_choices) && length(uploaded_choices) > 0) { - all_choices <- c(all_choices, uploaded_choices) - # Select first uploaded column by default - default_selected <- c(default_selected, uploaded_choices[1]) - } - } - - # Get choices from auto-detected factor columns - if (!is.null(transform_data$factor_columns()) && - ncol(transform_data$factor_columns()) > 0) { - factor_choices <- colnames(transform_data$factor_columns()) - if (!is.null(factor_choices) && length(factor_choices) > 0) { - all_choices <- c(all_choices, factor_choices) - # Select all factor columns by default - default_selected <- c(default_selected, factor_choices) - } - } - - # Remove any duplicates - all_choices <- unique(all_choices) - default_selected <- unique(default_selected) - - # Create the selectInput if we have any choices - if (length(all_choices) > 0) { - tags$div(style = "margin-top: 5px;", - selectInput("row_annotation_select", "Row annotations:", - choices = all_choices, selected = default_selected, multiple = TRUE)) - } else { - return(NULL) - } - }) - - # Use the transform module - transform_data <- transform_server("transform", reactive({ - file_data$data() - })) - - initial_loading <- reactiveVal(TRUE) - # Create a reactive that provides the main data for processing. - current_data <- reactive({ - # If there's no data uploaded yet, return NULL - if (is.null(file_data$data())) { - return(NULL) - } - - # During initial loading, don't show heatmap if transform dialog is open - if (initial_loading() && !transform_data$modal_closed()) { - return(NULL) - } - - # Once transformation is applied for the first time, mark initial loading as complete - if (transform_data$has_transformed()) { - initial_loading(FALSE) - } - - # Return appropriate data based on transformation state - if (!is.null(transform_data$processed_data()) && transform_data$has_transformed()) { - return(transform_data$processed_data()) - } else { - return(file_data$data()) - } - }) - - # Show transform status - output$transform_status <- renderUI({ - if (transform_data$has_transformed()) { - tags$div( - icon("check-circle"), - style = "color: green; margin-top: 7px;" - ) - } else { - tags$div( - icon("info-circle"), - style = "color: grey; margin-top: 7px;" - ) - } - }) - - # Modified reactive function that matches original behavior - col_annotation_for_heatmap <- reactive({ - req(current_data()) - - # Check if we have annotation data - if (is.null(col_annotation_file_data$data())) { - return(NULL) - } - - # Get annotation data - annot_df <- col_annotation_file_data$data() - main_cols <- colnames(current_data()) - selected <- input$col_annotation_select - - # Process annotations using the extracted function - process_column_annotations( - main_data_cols = main_cols, - annotation_df = annot_df, - selected_annotations = selected - ) - }) - - row_annotation_for_heatmap <- reactive({ - req(current_data()) - - # Get selected annotations - selected <- input$row_annotation_select - - # Get main data rows - main_rows <- rownames(current_data()) - - # Get file annotation data - file_annot_df <- NULL - if (!is.null(row_annotation_file_data$data())) { - file_annot_df <- row_annotation_file_data$data() - } - - # Get factor annotation data - factor_annot_df <- NULL - if (!is.null(transform_data$factor_columns()) && - ncol(transform_data$factor_columns()) > 0) { - factor_annot_df <- transform_data$factor_columns() - } - - # Process annotations using the utility function - process_row_annotations( - main_data_rows = main_rows, - file_annotation_df = file_annot_df, - factor_annotation_df = factor_annot_df, - selected_annotations = selected - ) - }) - - - # Create reactives for font size, width, and height to ensure availability for PCA and t-SNE - fontsize_for_plots <- reactive({ - if (!is.null(input$global_fontsize)) input$global_fontsize else 12 - }) - width_for_plots <- reactive({ - if (!is.null(input$global_width)) input$global_width else default_width - }) - height_for_plots <- reactive({ - if (!is.null(input$global_height)) input$global_height else default_height - }) - - # Use the heatmap module - heatmap_results <- heatmap_server( - "heatmap", - current_data, - file_data, - transform_data$unprocessed_data, - col_annotation_for_heatmap, - row_annotation_for_heatmap, - transform_data, - max_rows_to_show, - default_width, - default_height - ) - - observeEvent(input$reset_session, { - # Create a modal dialog asking for confirmation - showModal(modalDialog( - title = "Confirm Reset", - "This will clear all loaded data and reset the application to its initial state. Continue?", - footer = tagList( - modalButton("Cancel"), - actionButton("confirm_reset", "Reset", class = "btn-danger") - ), - easyClose = TRUE - )) - }) - - # Handle confirmation - observeEvent(input$confirm_reset, { - # Close the confirmation dialog - removeModal() - - # Reload the page to reset the session - session$reload() - }) - - pca_results <- pca_plot_server( - "pca", - current_data, - col_annotation_for_heatmap, - row_annotation_for_heatmap, - fontsize_for_plots, # Use our reactive - width_for_plots, # Use our reactive - height_for_plots # Use our reactive - ) - - tsne_results <- tsne_plot_server( - "tsne", - current_data, - col_annotation_for_heatmap, - row_annotation_for_heatmap, - fontsize_for_plots, # Use our reactive - width_for_plots, # Use our reactive - height_for_plots # Use our reactive - ) - - code_gen_results <- code_generation_server( - "code_gen", - file_data, - transform_data, - heatmap_results, - pca_results, - tsne_results, - col_annotation_file_data, - row_annotation_file_data - ) - - output$data_preview <- renderTable({ - req(current_data()) - data <- current_data() - - # Ensure data is a data frame - if (!is.data.frame(data)) { - data <- as.data.frame(data) - } - - # Limit to 30 rows and 30 columns - max_rows <- min(30, nrow(data)) - max_cols <- min(30, ncol(data)) - - # Get the row indices and column indices - row_indices <- seq_len(max_rows) - col_indices <- seq_len(max_cols) - - # Create a preview version of the data - preview_data <- data[row_indices, col_indices, drop = FALSE] - - # Return the preview with row names preserved - preview_data - }, rownames = TRUE, colnames = TRUE, bordered = TRUE, width = "100%", - digits = 3, align = 'c') - - - # Download handler for the data - output$download_data <- downloadHandler( - filename = function() { - paste0("transformed_data-", format(Sys.time(), "%Y%m%d-%H%M%S"), ".csv") - }, - content = function(file) { - data <- current_data() - write.csv(data, file, row.names = TRUE) - } - ) -} - -# Run the application -shinyApp(ui = ui, server = server) \ No newline at end of file diff --git a/data/RNAseq.csv b/extdata/RNAseq.csv similarity index 100% rename from data/RNAseq.csv rename to extdata/RNAseq.csv diff --git a/data/RNAseq_design.csv b/extdata/RNAseq_design.csv similarity index 100% rename from data/RNAseq_design.csv rename to extdata/RNAseq_design.csv diff --git a/data/RNAseq_gene_info.csv b/extdata/RNAseq_gene_info.csv similarity index 100% rename from data/RNAseq_gene_info.csv rename to extdata/RNAseq_gene_info.csv diff --git a/data/countries.csv b/extdata/countries.csv similarity index 100% rename from data/countries.csv rename to extdata/countries.csv diff --git a/data/iris.csv b/extdata/iris.csv similarity index 100% rename from data/iris.csv rename to extdata/iris.csv diff --git a/data/iris_column_annot.csv b/extdata/iris_column_annot.csv similarity index 100% rename from data/iris_column_annot.csv rename to extdata/iris_column_annot.csv diff --git a/data/scRNAseq_PCA.csv b/extdata/scRNAseq_PCA.csv similarity index 100% rename from data/scRNAseq_PCA.csv rename to extdata/scRNAseq_PCA.csv diff --git a/data/scRNAseq_clusters.csv b/extdata/scRNAseq_clusters.csv similarity index 100% rename from data/scRNAseq_clusters.csv rename to extdata/scRNAseq_clusters.csv diff --git a/inst/extdata/RNAseq.csv b/inst/extdata/RNAseq.csv new file mode 100644 index 0000000..5bef7f2 --- /dev/null +++ b/inst/extdata/RNAseq.csv @@ -0,0 +1,467 @@ +symbol,p53_mock_1,p53_mock_2,p53_mock_3,p53_mock_4,p53_IR_1,p53_IR_2,p53_IR_3,p53_IR_4,null_mock_1,null_mock_2,null_IR_1,null_IR_2 +Phlda3,4.236306445,4.28460269,4.365203817,4.113050921,12.17775465,12.02947172,12.95476854,13.0988683,3.734077316,3.066565004,2,2.492449186 +Cdkn1a,4.733035648,5.029232582,4.726342076,4.725242139,12.12459084,12.04504672,12.76713924,12.94078263,4.286224035,3.943188334,4.473915289,4.398275685 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+Rgl1,11.06521098,11.01721358,11.22799462,11.37170813,11.59257977,11.23984393,11.89866268,11.81490829,10.96542677,11.2447526,9.843160237,10.66026872 +Stard10,9.302572943,9.291552197,9.240447023,9.213207942,8.886746219,8.856231632,9.098298169,9.349157254,8.960085622,9.115622525,7.972322557,7.64452411 +Calhm2,11.16633382,11.24466727,11.11242407,11.31633393,11.24425484,11.05733278,11.69478053,11.89620445,11.24486064,11.22799861,10.14545293,9.998174629 +Rnasel,10.68668149,10.67986147,10.60676203,10.68349911,10.56282126,10.77862731,10.28027041,10.41234513,10.46235685,10.56195752,8.889822705,9.712213188 +Hmgb1-ps8,10.88192374,11.04180103,10.98121557,11.15735228,10.79177958,10.77551844,10.37664563,10.85867446,10.97824013,10.94562092,9.57457424,9.665276691 +Scand1,9.781370355,9.407966542,9.501890426,9.27454023,10.25931514,9.684167993,9.222053221,10.28707663,9.461688619,9.733921747,8.967367155,8.402650585 +Fmo5,8.739707886,8.95356203,8.698070614,9.034873496,8.699336548,8.958466103,8.502406462,8.587838232,8.806123528,8.801398038,7.382485023,7.66780177 +Chst14,6.845916325,6.918188612,6.898282383,7.017459339,6.992887464,7.029853051,7.188053038,7.131968168,6.612385268,6.685623926,5.597414066,5.788182586 +Prxl2c,8.952044699,8.796583588,8.805932345,8.724795269,8.824098178,8.519685437,8.839516857,8.907720228,8.773256451,8.829435905,7.57573034,7.470130667 +Dck,10.1093823,10.11322806,10.13271329,10.36844972,9.780806161,9.591747115,10.05469285,9.93210793,10.07951442,10.36531622,9.047180424,8.741190756 +Gtf2ird1,8.702187102,8.77123536,8.783716783,9.057564608,8.970120234,8.925186464,9.109026349,8.94547533,8.872083149,8.581630845,7.332390671,8.072823488 +Sh2d3c,11.1610562,11.27158175,11.10796067,11.61752707,11.35549391,11.31242744,11.75350962,11.87532812,11.380722,11.41447119,10.18551002,10.36063858 +Calcoco1,10.16965138,10.15302454,10.09325796,10.43235078,10.31656736,10.28548791,10.4697612,10.5050213,10.2536663,10.54176279,8.900176716,9.401060961 +Trafd1,11.14798229,11.11011525,11.29010275,11.17042353,11.21525469,11.12850722,11.62236999,11.58963531,11.0116823,11.20088816,10.03859489,10.14949852 +Tex9,9.315785923,9.453299101,9.297559784,9.703643916,9.290517662,9.172125237,9.589422625,9.573101792,9.630703965,9.842471083,8.196104825,8.693785921 +Svil,10.63783417,10.81623981,10.68590137,10.97389265,10.97402212,11.04705635,10.95422323,10.88125321,10.87120365,10.91846738,9.546285718,9.987807218 +Gab3,8.919717084,9.008830495,8.92670667,9.095338857,8.878548668,9.341463998,8.791485644,8.733073263,8.984589352,8.964522028,7.643035469,8.190004662 +Fam149b,10.92519282,11.08667422,10.83609843,11.17250398,10.55769615,10.51904076,10.97196231,11.04324058,11.20465537,11.24891087,10.00220969,9.931219808 +Fam234a,8.607466286,8.697795225,8.490363036,8.849661915,8.68530621,8.527098501,8.713959925,8.816940117,8.672653202,8.500248274,7.392298495,7.746437306 +Pstpip1,10.75994177,10.7734746,10.6798994,10.71666911,10.55641202,10.57911504,10.79614028,11.10710059,10.90951812,10.86393346,9.797732277,9.662382374 +Baz2b,13.21272927,13.35856215,13.20290878,13.43401302,13.13409455,13.3533107,12.98953435,13.16657121,13.36495599,13.38162507,12.16507081,12.25394983 +Sgms1,12.02416736,12.19925754,12.01869236,12.2437861,11.80860574,11.8341318,12.17111843,12.26730306,12.25904685,12.25704492,11.23166851,10.9744996 +Tom1l2,9.628566987,9.892375682,9.764246134,10.06002717,9.583119965,9.907925995,9.654337384,9.5803196,10.02793364,9.939567704,8.673486188,8.940706248 +Ptpre,10.15910114,10.05769991,10.25194305,10.22947631,10.28590263,10.27010759,10.01150827,10.08877847,10.30409776,10.26417694,8.840496467,9.572737366 +Abtb1,9.701967615,9.787553836,9.579473961,9.915969681,9.510709248,9.504309821,9.871512114,9.913178156,9.907281274,10.08621382,8.807872323,8.776418785 +Atp13a2,11.90755674,11.89633956,11.98848561,12.2266178,11.97210546,11.79705251,12.36930208,12.53893677,12.07187497,12.08513694,11.19989151,11.10972522 +Maml3,9.661140199,9.960122182,9.714782782,10.43495287,10.05261724,10.20919827,9.896496877,9.818688677,10.34596452,10.35763499,8.98692888,9.483724124 +Thra,7.358391972,7.533124091,7.498547558,7.892725763,7.603030586,7.661938156,7.576081237,7.680940024,8.295641405,8.334054763,6.922483065,7.559960878 +Tsc22d1,9.260674525,9.309272357,9.369644649,9.606963247,9.345081821,9.109308704,9.604664293,9.892064449,9.830712379,9.973886867,8.822463096,9.139038808 diff --git a/inst/extdata/RNAseq_design.csv b/inst/extdata/RNAseq_design.csv new file mode 100644 index 0000000..afc8c34 --- /dev/null +++ b/inst/extdata/RNAseq_design.csv @@ -0,0 +1,3 @@ +Study_Design,p53_mock_1,p53_mock_2,p53_mock_3,p53_mock_4,p53_IR_1,p53_IR_2,p53_IR_3,p53_IR_4,null_mock_1,null_mock_2,null_IR_1,null_IR_2 +p53,wt,wt,wt,wt,wt,wt,wt,wt,null,null,null,null +Radiation,mock,mock,mock,mock,IR,IR,IR,IR,mock,mock,IR,IR diff --git a/inst/extdata/RNAseq_gene_info.csv b/inst/extdata/RNAseq_gene_info.csv new file mode 100644 index 0000000..45cb6a2 --- /dev/null +++ b/inst/extdata/RNAseq_gene_info.csv @@ -0,0 +1,467 @@ +symbol,IR-mock,Apoptosis +Phlda3,None,Yes +Cdkn1a,None,Yes +Tnfsf4,Up,Yes +Gm10721,None,No +Gm10719,None,No +Tex15,Up,No +Plb1,None,No +1700007K13Rik,None,No +Grhl3,None,No +Plk2,None,Yes +Zfp365,None,No +Psrc1,None,No +Bbc3,None,Yes +Gtse1,None,No +Dact3,None,No +Matn1,None,No +Ckmt1,None,Yes +Prrg4,None,No +Cox6b2,None,No +Inka2,None,No +Ddias,None,Yes +Slc19a2,None,No +Robo3,None,No +Scn4b,None,No +Cep170b,None,No +Gm9949,Down,No +Hmcn2,None,No +Kank3,Up,No +Cd80,None,No +Dcxr,None,No +Sesn2,None,No +Hic1,None,Yes +Rhod,None,No +Epha2,None,Yes +Fam131a,None,No +Enc1,None,No +Ier5l,None,No +Snai3,None,No +Celf5,None,No +Akap1,Up,Yes +Dglucy,Down,No +Plekha7,Down,No +Plod2,None,No +Thyn1,Up,No +Rac3,None,No +Dennd2c,None,No +Ankrd13b,Up,No +Cdc42bpg,None,No +Ikbke,None,Yes +Pkd1l2,None,No +Abcb1b,Up,No +Cfap126,None,No +Ogdhl,None,No +Asap3,None,No +Ccng1,None,Yes +Pidd1,Up,Yes +Mef2b,Up,No +Lpin1,Down,No +Macroh2a3,Up,No +Dzip1,None,No +Ak1,None,No +Polk,None,No +Ppp1r36,None,No +Gm8482,None,No +Gm7451,Up,No +Fas,Up,Yes +Mybl1,None,No +Macroh2a2,Up,No +Zmat3,None,No +Ckap2,Up,Yes +Ddit4l,None,No +Gcdh,None,No +Aldh4a1,None,No +Mgmt,None,Yes +Bmp1,None,No +Ei24,None,Yes +Cpt1c,None,No +Jag2,None,Yes +Pmaip1,None,Yes +Cad,Up,No +Acad8,None,No +Aen,Up,Yes +ENSMUSG00000072812,None,No +Ccnf,None,No +Aaas,None,No +Gm13854,None,No +Cercam,None,No +Scarf2,None,No +Pcdhgc3,None,Yes +Dyrk3,None,Yes +Exoc4,None,No +Gnb1l,Up,No +Vcan,Up,No +Lacc1,None,No +Plxna1,None,No +Atg9b,None,No +Mcam,None,No +Ass1,None,No +Rtl10,Up,No +Kifc1,None,No +Ptpdc1,None,No +Tnfsf8,None,No +Syt12,None,No +Rxylt1,None,No +Spc25,None,No +Bax,Up,Yes +Tmem63b,Up,No +Efcab8,None,No +Apaf1,None,Yes +Notch3,None,No +Qpctl,None,No +Trp53inp1,Down,Yes +Ddit4,None,Yes +Cdkn2b,None,No +Rasd1,None,No +BC034090,None,No +Gm21969,None,No +Dcaf4,None,No +Sulf2,None,No +Gria3,None,No +Ctc1,None,No +Hdac4,None,Yes +Gm28041,Up,No +Gm6786,None,No +Wnt6,None,No +Sp6,None,No +Klhl26,None,No +Zfp385a,Down,Yes +Sh3yl1,Down,No +Ccdc122,None,No +Hmgcll1,Down,No +Slc35e4,None,No +Klrb1,None,No +Peli3,None,Yes +Rap2b,None,No +Jun,None,Yes +Slc2a9,Down,No +Mdm2,None,Yes +Kif18b,None,No +Slc22a12,None,No +Gpr179,None,No +Sgsm2,None,No +Cpne2,None,No +Fosl1,Up,Yes +Slc39a14,Up,No +Lif,None,No +Gm12895,Down,No +Gm12896,Down,No +Ldhb,None,No +Rps27l,Up,Yes +Csf1,None,No +Heyl,None,No +Fam216a,None,No +Cby1,None,No +Pomt2,Up,No +Nexmif,None,No +Stac2,Down,No +Fam83h,None,No +Gna15,Down,No +Rrm2,None,No +Creb3l1,None,Yes +Dnm1,None,No +Muc5ac,None,No +Tsen54,Up,No +Bhlhe41,Down,No +Akr1b10,Down,No +Carhsp1,None,No +Bcl2l11,None,Yes +Ercc5,None,No +Zbtb42,Down,No +Nme4,Up,No +Nudcd2,Up,No +Notch1,None,Yes +Arhgap35,None,No +Dagla,None,No +Gm18959,None,No +Klhl22,None,No +Thumpd2,None,No +Pigf,Up,No +Spsb1,None,No +Oxld1,None,No +Ahi1,None,No +Rgs12,None,No +Micall2,None,No +Ppm1d,None,No +Palm,None,No +Serpine2,None,No +Nfil3,None,No +Gm15185,None,No +Rnf169,None,No +Sac3d1,Up,No +Nfyb,None,No +Gm44216,None,No +Il2ra,None,Yes +Gne,None,No +Bloc1s2,None,Yes +Rap2a,None,No +Clec2g,None,No +Glipr1,None,No +Mapkapk3,None,No +Cpped1,None,No +Bcl2l15,None,Yes +Zfp958,None,No +Efna5,None,No +Gpr68,None,No +Adam8,None,Yes +Commd3,None,No +Ston1,None,No +Ppp2r5d,Up,No +Itm2a,None,No +Tnfrsf10b,None,Yes +Dnah12,None,No +Gm17981,None,No +Eng,None,No +Phlda1,None,Yes +Scd4,None,No +Trim7,Down,No +Zfp874a,None,No +Slc25a42,None,No +Tnfrsf18,None,Yes +Acot1,None,Yes +St14,None,No +Xrra1,None,No +Pcdhgc5,None,Yes +Abhd4,None,No +Rarg,None,Yes +Fbxw9,None,No +Rbl2,None,No +Mettl6,Up,No +Crip2,Down,No +Gpr55,None,No +Homer3,None,No +Arhgef9,None,No +Nectin4,None,No +Ttc9,None,No +H2aj,None,No +Snx20,None,No +Clec2f,None,No +Tef,None,No +Irak1bp1,None,No +Cuedc1,None,No +Kif1c,None,No +Hspa2,None,No +Msh6,Up,Yes +Sdc1,Down,No +Zbtb10,Up,No +Ephx1,Down,No +Kifc5b,None,No +Sspn,Down,No +Kcnc3,Up,No +Vopp1,None,No +Dffb,None,Yes +Zfp456,None,No +Hpcal1,Down,No +Cacna1b,None,No +Gm9961,None,No +Zfp688,None,No +Samsn1,Up,No +Anks1b,None,No +Gm16071,None,No +Depdc5,None,No +Rnf144a,Down,No +Bfsp2,None,No +Espn,None,No +Dkkl1,Down,Yes +Csnk1g1,None,No +Trim32,None,Yes +Gpr132,Up,No +Gss,None,No +Wdr91,None,No +Txlnb,None,No +Slc2a4,None,No +Eid3,None,No +Fam110a,None,No +Paqr5,None,No +Foxo3,None,Yes +Ptp4a3,None,No +Ttll9,None,No +Kifc5c-ps,None,No +Chek2,None,Yes +Frrs1,None,No +Trib2,None,No +Tbxa2r,Down,No +Myo3b,Down,No +Txnrd1,Up,No +Igsf11,None,No +Ehd4,Down,No +Tbc1d2,None,No +Ptpn14,None,No +Erich1,None,No +Sarm1,None,Yes +Gm15988,None,No +Clcn2,None,No +Nanos1,None,No +Gm6092,None,No +Tnip3,None,No +Myo10,None,No +Fosl2,None,No +Pinlyp,None,No +Rgs18,None,No +Celsr2,None,No +Mx1,None,No +Tmtc3,None,No +Rapgef3,Down,Yes +Tcp11l2,Down,No +Avpr1b,None,No +Pdrg1,None,No +D630023F18Rik,None,No +Tnfrsf26,Down,Yes +Cecr2,None,Yes +Zfyve21,None,No +Cers4,None,No +Scd2,None,No +Slc35d1,None,No +ENSMUSG00000107877,None,No +Gm45209,None,No +Fhip1b,None,No +Trio,None,No +Gask1b,None,No +Upf3b,None,No +Gm10819,None,No +Mmp15,None,No +Fbxo34,None,No +Syne3,Down,No +Bscl2,None,No +Sytl2,None,No +1700073E17Rik,None,No +Zfp692,None,No +Gm13285,None,No +Tmem108,Down,No +Rab40c,None,No +P2rx7,None,Yes +Utrn,Down,No +Wrap73,None,No +Glipr2,None,No +B3gnt8,Down,No +Gm10309,Down,No +Mfge8,None,No +Fzd5,None,Yes +Stra8,None,No +Gabpb1,None,No +Casp7,None,Yes +Dstn,None,No +Fuca1,None,No +Fam53b,None,No +Map3k9,Down,Yes +Arhgap21,None,No +Ttc28,Down,No +Tm7sf3,None,No +Ulk1,None,No +Tert,None,Yes +Mturn,Down,No +Mxd4,Down,No +Gm8818,None,No +Ypel3,Down,Yes +Plekho2,None,Yes +Rhbdf2,Down,No +Cep290,None,No +Vim,Down,No +Eola1,None,No +Ldlrap1,None,No +Gm16106,None,No +Arhgef18,Down,No +Zfp219,None,No +Nrxn2,Down,No +Fam13a,Down,No +Bach2,Down,No +Zfp703,None,No +Fam168a,Down,No +Scml4,Down,No +Gm15602,None,No +Pdk2,Down,Yes +Zcchc24,Down,No +Tmsb15b2,Down,No +Lamc1,Down,No +Papln,Down,No +Capg,Down,No +Kif21b,Down,No +Dgka,Down,No +ENSMUSG00000074497,Down,No +Mafa,None,No +Dab2ip,None,Yes +Cd55,Down,No +Vmac,None,No +Ddx25,Down,No +Trpm2,None,No +Wipi1,None,No +Gm3200,None,No +Nfic,None,No +Rell1,Down,No +Ust,None,No +Aanat,Down,No +Zbtb7b,None,No +Ngfr,Down,Yes +App,None,Yes +Pear1,Down,No +Vasn,Down,No +Fam214a,Down,No +Tmem71,Down,No +Orai2,Down,No +Akap12,Down,Yes +Tsku,Down,No +Btg2,Down,Yes +Prkce,Down,Yes +Sptbn5,Down,No +Lca5,Down,No +Slc2a8,Down,No +S100a11,None,No +Pdzd2,Down,No +Nfatc2,None,No +Psd3,Down,No +Sfxn3,Down,No +Ypel2,Down,No +Rb1,None,Yes +Ctse,Down,No +Pitpnc1,Down,No +Cd93,Down,No +Trp53i11,Down,No +Zc3h6,None,No +Pde2a,Down,No +Cast,Down,Yes +Cd55b,Down,No +Tcn2,None,No +S100a10,Down,No +Etv5,None,No +Coro7,Down,No +Gm26528,Down,No +Rps6ka5,Down,No +Brdt,Down,No +Esr1,Down,Yes +Mgst2,Down,No +Eps8,Down,No +Cep250,Down,No +Nlrx1,None,No +Runx1,Down,No +Plec,Down,No +Itga6,Down,Yes +Rgl1,None,No +Stard10,Down,No +Calhm2,Down,Yes +Rnasel,Down,No +Hmgb1-ps8,Down,No +Scand1,None,No +Fmo5,Down,No +Chst14,Down,No +Prxl2c,Down,No +Dck,Down,No +Gtf2ird1,None,No +Sh2d3c,Down,No +Calcoco1,Down,No +Trafd1,Down,No +Tex9,Down,No +Svil,Down,No +Gab3,Down,No +Fam149b,Down,No +Fam234a,Down,No +Pstpip1,Down,No +Baz2b,Down,No +Sgms1,Down,Yes +Tom1l2,Down,No +Ptpre,Down,No +Abtb1,Down,No +Atp13a2,None,No +Maml3,Down,No +Thra,Down,Yes +Tsc22d1,None,No diff --git a/inst/extdata/countries.csv b/inst/extdata/countries.csv new file mode 100644 index 0000000..12a39a3 --- /dev/null +++ b/inst/extdata/countries.csv @@ -0,0 +1,21 @@ +country,Area,Birth Rate,Death Rate,Infant Death,Internet Users,Life Span,Maternal Death,Net Migration,Population,Pop Growth,Continent +Russia,7.23295146,11.87,13.83,7.08,7.611223954,70.16,34,1.69,8.153724253,-0.03,Europe +Japan,5.57739413,8.07,9.38,2.13,7.996432862,84.46,5,0,8.104157127,-0.13,Asia +Germany,5.552694979,8.42,11.29,3.46,7.813747736,80.44,7,1.06,7.908467245,-0.18,Europe +South Africa,6.086035769,18.94,17.49,41.61,6.645422269,49.56,300,-6.27,7.684626769,-0.48,Africa +Ukraine,5.780713254,9.41,15.72,8.1,6.890421019,69.14,32,-0.06,7.646319536,-0.64,Europe +Poland,5.495107048,9.77,10.37,6.19,7.351255034,76.65,5,-0.47,7.583723228,-0.11,Europe +Romania,5.377289855,9.27,11.88,10.16,6.891370175,74.69,27,-0.24,7.337057148,-0.29,Europe +Syria,5.26759408,22.76,6.51,15.79,6.650210355,68.41,70,-113.51,7.254104106,-9.73,Asia +Cuba,5.044774874,9.9,7.64,4.7,6.205745541,78.22,73,-3.64,7.043254222,-0.14,N. America +Hungary,4.968613684,9.26,12.72,5.09,6.790707287,75.46,21,1.34,6.996473495,-0.21,Europe +Belarus,5.317227349,10.86,13.51,3.64,6.422097163,72.15,4,0.78,6.982635616,-0.19,Europe +Serbia,4.889155979,9.13,13.71,6.16,6.613524703,75.02,12,0,6.857921049,-0.46,Europe +Bulgaria,5.0448493,8.92,14.3,15.08,6.530839779,74.33,11,-2.89,6.840401967,-0.83,Europe +Georgia,4.843232778,12.93,10.77,16.68,6.113943352,75.72,67,-3.25,6.693364593,-0.11,Europe +Croatia,4.75277039,9.49,12.13,5.87,6.349083169,76.41,17,1.43,6.650359402,-0.12,Europe +Bosnia,4.709244513,8.89,9.64,5.84,6.152899596,76.33,8,-0.38,6.587895305,-0.11,Europe +Puerto Rico,4.139564266,10.9,8.51,7.73,6,79.09,20,-8.93,6.558816171,-0.65,N. America +Moldova,4.529571503,12.21,12.6,12.93,6.124830149,70.12,41,-9.8,6.554281715,-1.02,Europe +Lithuania,4.814913181,9.36,11.55,6,6.293141483,75.98,8,-0.73,6.544779456,-0.29,Europe +Armenia,4.473384771,13.92,9.3,13.97,5.318480725,74.12,30,-5.88,6.485810973,-0.13,Europe diff --git a/inst/extdata/iris.csv b/inst/extdata/iris.csv new file mode 100644 index 0000000..8b63930 --- /dev/null +++ b/inst/extdata/iris.csv @@ -0,0 +1,151 @@ +Sepal.Length,Sepal.Width,Petal.Length,Petal.Width,Species +5.1,3.5,1.4,0.2,setosa +4.9,3,1.4,0.2,setosa +4.7,3.2,1.3,0.2,setosa +4.6,3.1,1.5,0.2,setosa +5,3.6,1.4,0.2,setosa +5.4,3.9,1.7,0.4,setosa +4.6,3.4,1.4,0.3,setosa +5,3.4,1.5,0.2,setosa +4.4,2.9,1.4,0.2,setosa +4.9,3.1,1.5,0.1,setosa +5.4,3.7,1.5,0.2,setosa +4.8,3.4,1.6,0.2,setosa +4.8,3,1.4,0.1,setosa +4.3,3,1.1,0.1,setosa +5.8,4,1.2,0.2,setosa +5.7,4.4,1.5,0.4,setosa +5.4,3.9,1.3,0.4,setosa +5.1,3.5,1.4,0.3,setosa +5.7,3.8,1.7,0.3,setosa +5.1,3.8,1.5,0.3,setosa +5.4,3.4,1.7,0.2,setosa +5.1,3.7,1.5,0.4,setosa +4.6,3.6,1,0.2,setosa +5.1,3.3,1.7,0.5,setosa +4.8,3.4,1.9,0.2,setosa +5,3,1.6,0.2,setosa +5,3.4,1.6,0.4,setosa +5.2,3.5,1.5,0.2,setosa +5.2,3.4,1.4,0.2,setosa +4.7,3.2,1.6,0.2,setosa +4.8,3.1,1.6,0.2,setosa +5.4,3.4,1.5,0.4,setosa +5.2,4.1,1.5,0.1,setosa +5.5,4.2,1.4,0.2,setosa +4.9,3.1,1.5,0.2,setosa +5,3.2,1.2,0.2,setosa +5.5,3.5,1.3,0.2,setosa +4.9,3.6,1.4,0.1,setosa +4.4,3,1.3,0.2,setosa +5.1,3.4,1.5,0.2,setosa +5,3.5,1.3,0.3,setosa +4.5,2.3,1.3,0.3,setosa +4.4,3.2,1.3,0.2,setosa +5,3.5,1.6,0.6,setosa +5.1,3.8,1.9,0.4,setosa +4.8,3,1.4,0.3,setosa +5.1,3.8,1.6,0.2,setosa +4.6,3.2,1.4,0.2,setosa +5.3,3.7,1.5,0.2,setosa +5,3.3,1.4,0.2,setosa +7,3.2,4.7,1.4,versicolor +6.4,3.2,4.5,1.5,versicolor +6.9,3.1,4.9,1.5,versicolor +5.5,2.3,4,1.3,versicolor +6.5,2.8,4.6,1.5,versicolor +5.7,2.8,4.5,1.3,versicolor +6.3,3.3,4.7,1.6,versicolor +4.9,2.4,3.3,1,versicolor +6.6,2.9,4.6,1.3,versicolor +5.2,2.7,3.9,1.4,versicolor +5,2,3.5,1,versicolor +5.9,3,4.2,1.5,versicolor +6,2.2,4,1,versicolor +6.1,2.9,4.7,1.4,versicolor +5.6,2.9,3.6,1.3,versicolor +6.7,3.1,4.4,1.4,versicolor +5.6,3,4.5,1.5,versicolor +5.8,2.7,4.1,1,versicolor +6.2,2.2,4.5,1.5,versicolor +5.6,2.5,3.9,1.1,versicolor +5.9,3.2,4.8,1.8,versicolor +6.1,2.8,4,1.3,versicolor +6.3,2.5,4.9,1.5,versicolor +6.1,2.8,4.7,1.2,versicolor +6.4,2.9,4.3,1.3,versicolor +6.6,3,4.4,1.4,versicolor +6.8,2.8,4.8,1.4,versicolor +6.7,3,5,1.7,versicolor +6,2.9,4.5,1.5,versicolor +5.7,2.6,3.5,1,versicolor +5.5,2.4,3.8,1.1,versicolor +5.5,2.4,3.7,1,versicolor +5.8,2.7,3.9,1.2,versicolor +6,2.7,5.1,1.6,versicolor +5.4,3,4.5,1.5,versicolor +6,3.4,4.5,1.6,versicolor +6.7,3.1,4.7,1.5,versicolor +6.3,2.3,4.4,1.3,versicolor +5.6,3,4.1,1.3,versicolor +5.5,2.5,4,1.3,versicolor +5.5,2.6,4.4,1.2,versicolor +6.1,3,4.6,1.4,versicolor +5.8,2.6,4,1.2,versicolor +5,2.3,3.3,1,versicolor +5.6,2.7,4.2,1.3,versicolor +5.7,3,4.2,1.2,versicolor +5.7,2.9,4.2,1.3,versicolor +6.2,2.9,4.3,1.3,versicolor +5.1,2.5,3,1.1,versicolor +5.7,2.8,4.1,1.3,versicolor +6.3,3.3,6,2.5,virginica +5.8,2.7,5.1,1.9,virginica +7.1,3,5.9,2.1,virginica +6.3,2.9,5.6,1.8,virginica +6.5,3,5.8,2.2,virginica +7.6,3,6.6,2.1,virginica +4.9,2.5,4.5,1.7,virginica +7.3,2.9,6.3,1.8,virginica +6.7,2.5,5.8,1.8,virginica +7.2,3.6,6.1,2.5,virginica +6.5,3.2,5.1,2,virginica +6.4,2.7,5.3,1.9,virginica +6.8,3,5.5,2.1,virginica +5.7,2.5,5,2,virginica +5.8,2.8,5.1,2.4,virginica +6.4,3.2,5.3,2.3,virginica +6.5,3,5.5,1.8,virginica +7.7,3.8,6.7,2.2,virginica +7.7,2.6,6.9,2.3,virginica +6,2.2,5,1.5,virginica +6.9,3.2,5.7,2.3,virginica +5.6,2.8,4.9,2,virginica +7.7,2.8,6.7,2,virginica +6.3,2.7,4.9,1.8,virginica +6.7,3.3,5.7,2.1,virginica +7.2,3.2,6,1.8,virginica +6.2,2.8,4.8,1.8,virginica +6.1,3,4.9,1.8,virginica +6.4,2.8,5.6,2.1,virginica +7.2,3,5.8,1.6,virginica +7.4,2.8,6.1,1.9,virginica +7.9,3.8,6.4,2,virginica +6.4,2.8,5.6,2.2,virginica +6.3,2.8,5.1,1.5,virginica +6.1,2.6,5.6,1.4,virginica +7.7,3,6.1,2.3,virginica +6.3,3.4,5.6,2.4,virginica +6.4,3.1,5.5,1.8,virginica +6,3,4.8,1.8,virginica +6.9,3.1,5.4,2.1,virginica +6.7,3.1,5.6,2.4,virginica +6.9,3.1,5.1,2.3,virginica +5.8,2.7,5.1,1.9,virginica +6.8,3.2,5.9,2.3,virginica +6.7,3.3,5.7,2.5,virginica +6.7,3,5.2,2.3,virginica +6.3,2.5,5,1.9,virginica +6.5,3,5.2,2,virginica +6.2,3.4,5.4,2.3,virginica +5.9,3,5.1,1.8,virginica diff --git a/inst/extdata/iris_column_annot.csv b/inst/extdata/iris_column_annot.csv new file mode 100644 index 0000000..7e1e239 --- /dev/null +++ b/inst/extdata/iris_column_annot.csv @@ -0,0 +1,3 @@ +,Sepal.Length,Sepal.Width,Petal.Length,Petal.Width +Object,Sepal,Sepal,Petal,Petal +Type,Length,Width,Length,Width diff --git a/inst/extdata/scRNAseq_PCA.csv b/inst/extdata/scRNAseq_PCA.csv new file mode 100644 index 0000000..6e5622b --- /dev/null +++ b/inst/extdata/scRNAseq_PCA.csv @@ -0,0 +1,2701 @@ +cells,PC_1,PC_2,PC_3,PC_4,PC_5,PC_6,PC_7,PC_8,PC_9,PC_10,PC_11,PC_12,PC_13,PC_14,PC_15,PC_16,PC_17,PC_18,PC_19,PC_20,PC_21,PC_22,PC_23,PC_24,PC_25,PC_26,PC_27,PC_28,PC_29,PC_30,PC_31,PC_32,PC_33,PC_34,PC_35,PC_36,PC_37,PC_38,PC_39,PC_40,PC_41,PC_42,PC_43,PC_44,PC_45,PC_46,PC_47,PC_48,PC_49,PC_50 +C1,4.61,-0.6,-0.61,-1.72,-0.74,1.3,1.05,-0.95,0.97,0.88,-2.76,2.75,0.79,1.09,0.2,-1.11,-2.1,-2.43,-0.27,-0.26,0.17,1.39,3.36,-2.78,-0.09,0.95,1.13,-2.28,1.16,-0.24,2.25,-1.43,0.83,-0.73,0.68,0.89,-2.57,2.19,-2.33,2.09,-0.5,3.34,-1.2,-0.92,-0.97,-0.94,0.41,-0.04,-0.06,0.67 +C2,0.17,4.54,6.45,6.86,-0.8,0.5,-2.56,-1.68,-0.1,1.71,0.73,0.86,-4.06,0.28,-1.28,-1.36,0.83,-1.09,0.52,-2.96,3.19,1.66,0.47,-2.18,0.23,-1.18,0.21,2.04,2.49,0.51,3.17,2.43,0.49,1.14,2.31,0.19,0.78,-1.38,0.05,-1.29,-2.03,0.21,0.64,0.35,-1.05,2.05,0.23,3.25,1.44,-0.74 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zM|9jv?Nb_Lt4R&A=c^9wCcid|p4$5*v&Eo1A( + + + + + DataMap Documentation + + +

+ + + +

A secure, browser-based application for visualizing high-dimensional 'omics and other data matrices with heatmaps, PCA, and t-SNE. V. 0.1

+
+

Video tutorials

+

+ Watch a 2-min video on + YouTube + to get a quick start. Here is another + + video + on countries with negative population growth. +

+
+
+

Overview

+

DataMap is a Shiny application designed to provide researchers and data analysts with an easy-to-use tool for visualizing high-dimensional data matrices. What makes DataMap unique is that it runs entirely in your browser through Shinylive technology, ensuring your data never leaves your device, providing both security and scalability.

+ +
+ Why DataMap? +
    +
  • Runs completely in your browser - no server required
    • +
  • Your data stays on your device, providing maximum security
    • +
  • Interactive visualizations including heatmaps, PCA, and t-SNE
    • +
  • Support for data transformations (scaling, normalization, etc.)
    • +
  • Exportable code to reproduce your analysis in R
    • +
  • Supports multiple data formats (CSV, TSV, TXT, Excel)
    • +
  • Customizable visualization parameters
    • +
+
+
+ +
+

Getting Started

+ +

Launching the Application

+

DataMap is accessed through your web browser. Simply navigate to the DataMap URL to launch the application. No installation is required.

+ +

Interface Overview

+

The DataMap interface consists of:

+
    +
  • Left Sidebar: Contains controls for data upload, transformations, and visualization settings
    • +
  • Main Panel: Displays the visualizations in tabbed panels (Heatmap, PCA, t-SNE, Code)
    • +
+
+ +
+

Data Upload

+ +

Supported File Formats

+

DataMap supports the following file formats:

+
    +
  • CSV files (.csv)
    • +
  • Tab-separated files (.tsv, .txt)
    • +
  • Excel files (.xls, .xlsx)
    • +
+ +

Data Format Requirements

+

Your data should be organized in a matrix format where:

+
    +
  • Rows typically represent features (genes, metabolites, proteins, etc.)
    • +
  • Columns typically represent samples or observations
    • +
  • The first row may contain column headers (sample names)
    • +
  • The first column may contain row identifiers (feature names)
    • +
+ +
+ + +
+ +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
Name1Name2Name3Name4Name5Name6
5.62.94.39.13.13.4
3.22.1NA2.81.52.9
8.98.79.08.53.52.4
1.98.01.01.52.51.8
1.02.11.53.16.67.8
+

The column names should not have duplicates. Missing values in the data matrix are tolerated.

+
+ +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
GeneIDNameSample1Sample2Sample3Sample4Protein_coding
Gene1DNA Repair 25.67.84.39.1Yes
Gene2Energy 3B3.22.13.52.8Yes
Gene3Stress related 18.98.79.08.5No
Gene4Transporter 21.21.01.41.3Yes
Gene56.76.96.27.1Yes
+

The first column contains row names (here is gene ids). + The row must not contain duplicates. Otherwise, it will be ignored, just like the 2nd column. + You can have one or more columns with categorical data, such as the last one here. + Such information will be used to label rows. You can also save such columns in a separate + file to be uploaded as row annotations (See below).

+ +
+ +

Optional Annotation Files

+

DataMap allows you to upload additional annotation files to provide context for your data:

+ +

Column Annotation File

+

This file provides metadata about your samples (columns). The file should have:

+
    +
  • Column names matching the column names in your main data file
    • +
  • Rows containing different annotations (e.g., treatment, time point, etc.)
    • +
+ + + + + + + + + + + + + + + + + + + + + + +
SampleIDSample1Sample2Sample3Sample4
TreatmentControlTreatmentControlTreatment
TimePoint0h0h24h24h
+ +

Row Annotation File

+

This file provides metadata about your features (rows). The file should have:

+
    +
  • Row names matching the row names in your main data file
    • +
  • Columns containing different annotations (e.g., pathways, functions, etc.)
    • +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
GeneIDPathwayFunction
Gene1GlycolysisEnzyme
Gene2TCA CycleTransporter
Gene3GlycolysisTranscription Factor
Gene4TCA CycleEnzyme
Gene5Lipid MetabolismSignaling
+ +

Uploading Your Data

+
    +
  1. Click the Data Files button in the sidebar
    2. +
  2. Use the file upload controls to select and upload your files
    3. +
  3. Configure import settings (delimiter, headers, row names) in the dialog
    4. +
  4. Preview your data to ensure it's imported correctly
    5. +
  5. Click Import Data to load your data into the application
    6. +
+ +
+ Tip: The application will attempt to auto-detect the optimal import settings, but you can adjust these manually if needed. +
+
+ +
+

Data Transformation

+ +

DataMap provides various options for transforming your data to improve visualization and analysis:

+ +

Available Transformations

+
    +
  • Log10 Transformation: Useful for skewed data with large ranges
    • +
  • Missing Value Handling: Replace missing values with zeros, means, or medians
    • +
  • Scaling Options: +
      +
    • Center by row: Subtract row means from each row
      • +
    • Scale by row (Z-score): Standardize each row to have mean 0 and standard deviation 1
      • +
    • Center by column: Subtract column means from each column
      • +
    • Scale by column (Z-score): Standardize each column to have mean 0 and standard deviation 1
      • +
    +
    • +
  • Outlier Capping: Limit extreme values based on a Z-score threshold
    • +
  • Row Filtering: Keep only the most variable rows (features) for clearer visualization
    • +
+ +

Applying Transformations

+
    +
  1. Click the Data Prep. button in the sidebar
    2. +
  2. Select the desired transformations in the dialog
    3. +
  3. Preview the effect of your transformations in the histogram
    4. +
  4. Click Apply Changes to implement the transformations
    5. +
+ +
+ Note: The application will recommend appropriate transformations based on your data characteristics, such as skewness and the presence of missing values. +
+
+ +
+

Visualization Options

+ +

Heatmap

+

The heatmap visualization allows you to see patterns in your data matrix through color intensity.

+ +

Customization Options

+
    +
  • Clustering: Enable/disable clustering for rows and columns
    • +
  • Clustering Method: Choose from various linkage methods (complete, average, single, ward.D, etc.)
    • +
  • Distance Metric: Select the distance measure (euclidean, manhattan, pearson correlation, etc.)
    • +
  • Color Palette: Choose from various color schemes for the heatmap
    • +
  • Font Size: Adjust the text size in the visualization
    • +
  • Heatmap Size: Control the width and height of the heatmap
    • +
  • Data Labels: Toggle display of data values in the cells
    • +
  • Row Names: Toggle display of row identifiers
    • +
  • Clustering Cutoffs: Set specific numbers of clusters to display
    • +
+ +

Principal Component Analysis (PCA)

+

PCA reduces the dimensionality of your data to display the main sources of variation.

+ +

PCA Options

+
    +
  • Analysis Mode: Choose whether to analyze row vectors or column vectors
    • +
  • Annotation Coloring: Automatically colors points by row or column annotations
    • +
+ +

t-SNE (t-Distributed Stochastic Neighbor Embedding)

+

t-SNE is a nonlinear dimensionality reduction technique that is particularly good at visualizing high-dimensional data clusters.

+ +

t-SNE Options

+
    +
  • Analysis Mode: Choose whether to analyze row vectors or column vectors
    • +
  • Perplexity: Adjust the perplexity parameter to balance local and global structure (typically between 5-50)
    • +
  • Annotation Coloring: Automatically colors points by row or column annotations
    • +
+
+ +
+

Generating Reproducible Code

+

One of the most powerful features of DataMap is its ability to generate reproducible R code for your analysis.

+ +

Code Generation

+

The application automatically generates R code that replicates all steps of your analysis:

+
    +
  • Data import with the correct parameters
    • +
  • Data transformations applied
    • +
  • Heatmap generation with all customized settings
    • +
  • PCA and t-SNE configurations
    • +
+ +

Accessing the Code

+
    +
  1. Navigate to the Code tab in the main panel
    2. +
  2. Review the generated R code
    3. +
  3. Click Download Code as R Script to save the code for later use
    4. +
+ +
+ Tip: This feature is especially useful for documentation, publications, and ensuring reproducibility of your analysis. +
+
+ +
+

Exporting Results

+ +

Saving Visualizations

+

You can save your visualizations in various formats:

+
    +
  • PDF: Click the PDF button to download the current heatmap as a PDF file
    • +
  • PNG: Click the PNG button to download the current heatmap as a PNG image
    • +
+ +
+ +
+

Tips and Best Practices

+ +

Data Preparation

+
    +
  • Data Size: While the application can handle large matrices, performance may decrease with extremely large datasets (e.g., >50,000 rows). Consider filtering your data to the most relevant features before uploading.
    • +
  • Missing Values: Consider how to handle missing values based on your data type. For gene expression data, replacing with zeros often makes sense, while for other data types, means or medians might be more appropriate.
    • +
  • Log Transformation: For gene expression data and many other biological datasets, log transformation often improves visualization by reducing the effect of extreme values.
    • +
+ +

Visualization

+
    +
  • Row Names: Displaying row names on large matrices can make the heatmap unreadable. Use the toggle to show or hide row names as needed.
    • +
  • Clustering: Different distance metrics and linkage methods can reveal different patterns. Explore multiple combinations to find the most informative visualization for your data.
    • +
  • Color Palettes: For divergent data (with both positive and negative values), use divergent color schemes like RdBu. For sequential data, gradients like YlOrRd or Blues are more appropriate.
    • +
+ +

Troubleshooting

+
    +
  • Import Issues: If your data isn't importing correctly, check for special characters in headers, mixed data types, or unusual delimiters.
    • +
  • Missing Row/Column Annotations: Ensure that the identifiers in your annotation files exactly match those in your main data file.
    • +
  • t-SNE Performance: t-SNE can be computationally intensive for large datasets. If you experience slow performance, try reducing the number of rows with the row filtering option.
    • +
+
+ +
+

FAQ

+ +

General Questions

+ +

Is my data secure?

+

Yes. DataMap runs entirely in your browser using WebAssembly technology. Your data never leaves your device and is not sent to any server, providing maximum security and privacy.

+ +

What is the maximum file size I can upload?

+

Since the application runs in your browser, the maximum file size depends on your device's memory. However, this browser app gets slow when there are 5000 rows or columns. Users can install DataMap as an R package to run it natively.

+ +

Can I analyze RNA-seq (bulk or single cell) data?

+

Yes, DataMap is particularly well-suited for analyzing gene expression data from RNA-seq or microarray experiments. The scaling and transformation options are designed with these data types in mind.

+ +

How do I cite DataMap in my publication?

+

If you use DataMap in your research, please cite it as: "Ge, X. (2025). DataMap: A secure browser-based application for visualizing high-dimensional data matrices. [Software]. Available from: [URL]"

+ +

What browsers are supported?

+

DataMap works best with modern browsers like Chrome, Firefox, Edge, and Safari. We recommend using the latest version of your preferred browser for optimal performance.

+ +

My visualization is taking a long time to generate. What can I do?

+

For large datasets, consider these strategies to improve performance:

+
    +
  • Try install DataMap as an R package. See instruction on the GitHub page.
    • +
  • Filter your data to fewer rows (use the "Keep top most variable rows" option)
    • +
  • Use simpler clustering methods (like "single" or "average" instead of "complete" or "ward.D")
    • +
  • Reduce the perplexity value for t-SNE
    • +
+ +

Can I use DataMap offline?

+

Yes, once loaded in your browser, DataMap can operate without an internet connection. You can bookmark the page for offline access in some browsers.

+

Who owns the copyright of the produced plots?

+

You!

+
+ +
+

Install as an R package

+

remotes::install_github("gexijin/datamap", ref = "rPackage")

+

DataMap::run_datamap()

+
+ +
+

Source code, Bug Reports, and Feature Requests

+

If you encounter any issues or have suggestions for improving DataMap, please report them on our GitHub repository:

+

https://github.com/gexijin/datamap

+
+
+

Paper & Citation

+ +

For more information, please read this preprint. If you use DataMap in your research, please cite it:

+ +
+ Ge, X. (2025). DataMap: A Portable Application for Visualizing High-Dimensional Data, + arXiv:2504.08875, 2025. +
+
+
+
+

About the Author

+

Dr. Xijin Ge is a Professor at South Dakota State University specializing in bioinformatics and data visualization.

+ + +
+
+ +
+

DataMap by Dr. Xijin Ge, South Dakota State University © 2025

+

This documentation last updated: April 17, 2025

+
+ + +
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