Hello, Dear Maintainer ,
I used DUBStepR, but now I am encountering this error message: "Determining optimal feature set... Error in ScaleData(): No layer matching pattern 'data' found. Please run NormalizeData and retry. Run rlang::last_trace() to see where the error occurred." When I run rlang::last_trace(), I get the following error: "Error in ScaleData(): No layer matching pattern 'data' found. Please run NormalizeData and retry." The backtrace is as follows:
1
└─DUBStepR::DUBStepR(input.data = as.data.frame(NormalizeData(Input@assays$RNA$counts)))
3. └─DUBStepR:::getOptimalFeatureSet(...)
4. ├─base::suppressWarnings(...)
5. │ └─base::withCallingHandlers(...)
6. ├─Seurat::ScaleData(...)
7. └─Seurat:::ScaleData.Seurat(...)
8. ├─Seurat::ScaleData(...)
9. └─Seurat:::ScaleData.StdAssay(...)
10. └─rlang::abort(paste0("No layer matching pattern '", olayer, "' found. Please run NormalizeData and retry"))
The problem is the same if you run the package example res <- DUBStepR(input.data = pbmc_norm_small_data). i think the problem is about the update of Seurat packages, and many thinks are changed. Do you think could you correct the problem ?
Thanks in Advance ,
Petros
Hello, Dear Maintainer ,
I used DUBStepR, but now I am encountering this error message: "Determining optimal feature set... Error in ScaleData(): No layer matching pattern 'data' found. Please run NormalizeData and retry. Run rlang::last_trace() to see where the error occurred." When I run rlang::last_trace(), I get the following error: "Error in ScaleData(): No layer matching pattern 'data' found. Please run NormalizeData and retry." The backtrace is as follows:
The problem is the same if you run the package example res <- DUBStepR(input.data = pbmc_norm_small_data). i think the problem is about the update of Seurat packages, and many thinks are changed. Do you think could you correct the problem ?
Thanks in Advance ,
Petros