Thank you for your response! I also saw that list. Do you know some specific tools? I found several papers first estimated CNV based on transcription data (cells with many CNVs are tumor cells), but they didn't tell which tool they were using (maybe everybody writes their own code and there is no universal tool?)
Tools for scRNAseq
Hi there,
Any suggestions on R or python packages to analyze tumor scRNAseq data, if I want to distinguish malignant cells from normal cells?
Thank you!
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@Sean Davis has a comprehensive list of programs related to all things single cell here.
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I finally discover that I can do this by first inferring CNV (using infercnv for example). Malignant cells have CNV while non-malignant cells don't. Then they can be distinguished.
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There's a good list here: https://www.scrna-tools.org/table
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single cell RNA sequencing
Please do not post this in every single cell RNA thread. You have already created a
toolspost for your software which is the appropriate way of announcing a new tool.Seurat,Linnorm,Dimm-SC,It can all be done, and I'm glad it helps