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How to quantile normalize FPKM values for comparison of differentially expressed gene (DEG) analysis

Hello everyone, I had a question on how to gain quantile normalized data with my current FPKM and raw data. Is there an R code for quantile normalization to do DEG analysis? Any help would be greatly appreciated! Thank you.

r deseq fpkm deg rna-seq

1 answer

Hello francis24kim!

Questions similar to yours can already be found at:

FPKM quantile normalization

Rnaseq Fpkm Quantile Normalization

FPKM Quantile Normalization

Quantile normalizing prior to or after TPM scaling?

quantile normalization for normalized values

Differences between FPKM and FPKM-UQ files in gene expression analysis

TCGA/GDC FPKM vs FPKM-UQ

and then on how to do DEG with normalized data:

gene expression analysis using RNA seq data

How to do FPKM differential analysis?

Comparing FPKM values in different genes

FPKM and DESEq - RNAseq

You want to read about "limma-trend" pipeline as well. The relevant thread over at Bioconductor from the author of limma is here: https://support.bioconductor.org/p/56275/

Please also search support.bioconductor.org which has plenty of posts on that.

We have closed your question to allow us to keep similar content in the same thread.

If you disagree with this please tell us why in a reply below. We'll be happy to talk about it.

Cheers!

Thank you ATpoint, your answer was very helpful! I'll try and share anything new that comes up during my attempt. Cheers!

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