This package contains scaffolds used for spaceRAT. See the package vignettes for instructions how to build and use the scaffolds.
Install from GitHub
# Install using remotes
# install.packages("remotes")
remotes::install_github("shdam/spaceRATScaffolds", build_vignettes = TRUE)This is a data package. The current spaceRAT scaffolds include:
library("spaceRATScaffolds")
listScaffolds()
#> [1] "TCGA.v2" "DMAP.v1" "GTEx.v1" "TCGA.v1"
listDatasets()
#> [1] "DMAP_exprs" "DMAP_pData" "ilaria_counts" "ilaria_pData"
listConverters()
#> [1] "gene_id_converter_hs" "gene_id_converter_mm"scaffold <- getScaffold("DMAP")
# Add versioning to get a specific version:
scaffold.v1 <- getScaffold("DMAP.v1", store = TRUE, path = "scaffolds")If you set store = TRUE, the scaffold will be stored locally in the
folder set by path. When re-acquiring the scaffold,
getScaffold("DMAP.v1", path = "scaffolds") will load the local
scaffold instead of downloading from Zenodo.
# Load test data
testData <- loadData("DMAP_exprs")
testPheno <- loadData("DMAP_pData")See spaceRAT for instructions on how to use the scaffolds.
If you have any issues or questions regarding the use of
spaceRATScaffolds, please do not hesitate to raise an issue on GitHub.
In this way, others may also benefit from the answers and discussions.