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DE Analysis on Scran-Normalized Counts

I would like to perform differential expression analysis on a scRNA-sequenced GEO dataset (GSE111065). I can use either raw counts from featureCounts, or normalized counts prepared via the deconvolution method in scran. I would like to use the normalized counts if possible, but am unsure if I can use them as input into programs like Seurat. I'm interested in figuring our how a few very specific genes change between cells of different types.

r rna-seq scrna-seq

1 answer

If you're already using scran, why don't you just use Bioconductor packages for your DE as described in the OSCA book? Chapters 11 and 14 may be of particular interest to you.

Thank you! I'll look into those chapters.

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