How can I solve this issue?

Question

How can I solve this issue?

Closed this issue 7 months ago · 7 comments

Hi, I am trying to run scRNA data on Ecotyper recently. However, I encountered some issues that I can't solve, thus wanted to seek your help.

I dont' know how to solve it, it didn't show any useful information about the error message as following:

(base) root@interactive52680:/home/chenxiaolin/ecotyper-master# Rscript EcoTyper_recovery_scRNA.R -d Carcinoma -m ecotyper_scRNA/GSE176078.expr.txt -a ecotyper_scRNA/GSE176078.anno.txt -o RecoveryOutput -s 60
The annotation file contains column 'Sample', and more than half of the cell types are present in the recovery dataset. Will perform ecotype recovery.
Running cell state recovery on cell type: PCs...
Running cell state recovery on cell type: Endothelial.cells...
Running cell state recovery on cell type: CD4.T.cells...
Running cell state recovery on cell type: Dendritic.cells...
Running cell state recovery on cell type: CD8.T.cells...
Running cell state recovery on cell type: Epithelial.cells...
Running cell state recovery on cell type: Monocytes.and.Macrophages...
Running cell state recovery on cell type: B.cells...
Running cell state recovery on cell type: NK.cells...
Running cell state recovery on cell type: Fibroblasts...
Killed
Killed
Downsampling cell type 'Dendritic.cells' to 60 cells...
Downsampling cell type 'NK.cells' to 60 cells...
Downsampling cell type 'B.cells' to 60 cells...
Downsampling cell type 'CD8.T.cells' to 60 cells...
Downsampling cell type 'Monocytes.and.Macrophages' to 60 cells...
Downsampling cell type 'Fibroblasts' to 60 cells...
Downsampling cell type 'CD4.T.cells' to 60 cells...
Downsampling cell type 'Epithelial.cells' to 60 cells...
Error in RunJobQueue() :
EcoTyper failed. Please check the error message above!
Execution halted

Thank you again for your attention. I am really appreciated for your help.

Answer 1 · 2024-06-18T17:36:50.000Z

This seems to be related to a memory issue, for example if you are running EcoTyper in an interactive session on a server/cluster. Try allocating more memory, especially when working with scRNA-seq data.

Answer 2 · 2024-06-18T17:41:13.000Z

It seems not related to the memory. I updated the running memory of server to 256/512GB, still can’t work on 27 scRNA samples

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Answer 3 · 2024-06-18T17:46:03.000Z

How many cells do you have? I would try downsampling the file prior to running EcoTyper.

Answer 4 · 2024-06-18T17:54:44.000Z

I also tried downsamples, still failed.

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Answer 5 · 2024-06-18T20:10:08.000Z

How big is your scRNA-seq dataset? How many cells? You tried downsampling your input file prior to running EcoTyper? If so there could be an issue with the formatting of your input file.

Answer 6 · 2024-06-19T00:01:30.000Z

Around 500Mb and 170,000 cells. I would try it again, thank u so much.

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---- Replied Message ---- | From | Chloé B. ***@***.***> | | Date | 06/19/2024 04:10 | | To | digitalcytometry/ecotyper ***@***.***> | | Cc | LynnChan99 ***@***.***>, Author ***@***.***> | | Subject | Re: [digitalcytometry/ecotyper] How can I solve this issue? (Issue #87) | How big is your scRNA-seq dataset? How many cells? You tried downsampling your input file prior to running EcoTyper? If so there could be an issue with the formatting of your input file. — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you authored the thread.Message ID: ***@***.***>

Answer 7 · 2024-06-30T04:41:32.000Z

Sorry, could you please share how to extract and save the expression matrix from standard single-cell data in R? I think the issue might be with the data form.

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2024年6月19日 04:10，Chloé B. Steen ***@***.***> 写道： How big is your scRNA-seq dataset? How many cells? You tried downsampling your input file prior to running EcoTyper? If so there could be an issue with the formatting of your input file. — Reply to this email directly, view it on GitHub <#87 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/A3VMAOESOI4SPFD5P4YMSZ3ZICH3NAVCNFSM6AAAAABJQPWAMCVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDCNZWHA4DCNZZGA>. You are receiving this because you authored the thread.