Question: Gene Set Enrichment Analysis after DESeq2
gravatar for Sreeraj Thamban
18 months ago by
Indian Institute of Science Education and Research
Sreeraj Thamban130 wrote:

Hello Biostars, Can anyone tell me how to prepare input data set for GSEA after Differential Gene Expression Analysis by DESeq2? How will I rank the genes? Should I rank based on log2FC or Adjusted P value? Is there any way to generate a GSEA ready data directly from DESeq2?. I was using topGo for gene ontology enrichment analysis before and recently came across GSEA. Which one is better GO enrichment analysis or GSEA? Even after going through the papers I couldn't find a significant difference between above two.

Thank you

gsea rna-seq deseq2 geneontology • 5.0k views
ADD COMMENTlink modified 5 months ago by enxxx23210 • written 18 months ago by Sreeraj Thamban130

I like DESeq2. It would be great to have in the future something like ROAST/CAMERA/GSEA in DESeq2 too!

ADD REPLYlink written 5 months ago by enxxx23210
gravatar for Prakash
18 months ago by
Prakash920 wrote:

Hi Sreeraj

Genes can be ranked based on fold change and P value and that can be used in GSEA package.

you can use this R code for this purpose.

x <- read.table("DE_genes.txt",sep = "\t",header = T)
x$fcsign <- sign(x$log2.fold_change.)
x$metric= x$logP/x$fcsign
y<-x[,c("Gene", "metric")]
ADD COMMENTlink modified 18 months ago • written 18 months ago by Prakash920

in this case, what parameter should we input into GSEA?

ADD REPLYlink written 15 months ago by langya40

How would you handle NA values?

ADD REPLYlink written 4 months ago by t-jim20
gravatar for Michael Love
18 months ago by
Michael Love1.8k
United States
Michael Love1.8k wrote:

Here's a link to an answer I wrote a few years ago for using the gene set testing package goseq following DESeq2:

I'm not sure what kind of input GSEA takes. I also like the methods behind ROAST and CAMERA from the limma package, but I haven't yet worked on integrating with those methods. For those two, you would need to run a limma analysis upstream.

ADD COMMENTlink written 18 months ago by Michael Love1.8k

Hey I noticed in the newest DESeq2 version, the default setting of fold change is not shrunken fold change, may I ask why? i thought the shrunken fold change gives you higher confidence.

ADD REPLYlink written 12 months ago by langya40
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