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This repository has been archived by the owner on Jan 14, 2022. It is now read-only.
I have checked the DESeq2 normalizaion result, the sum are also different between samples like FPKM/RPKM/TPM. In your idea, i think use RPGC(1x average coverage) are better.
In most paper(about cancer) when show the gene change quote from TCGA adopt the FPKM instead of DESeq2 normalization result( TCGA produce the raw count)
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I have checked the DESeq2 normalizaion result, the sum are also different between samples like FPKM/RPKM/TPM. In your idea, i think use RPGC(1x average coverage) are better.
In most paper(about cancer) when show the gene change quote from TCGA adopt the FPKM instead of DESeq2 normalization result( TCGA produce the raw count)
The text was updated successfully, but these errors were encountered: