Analyse RNA-seq differential expression data
Sorry in advance, I'm sure this question has already been posted before, but I haven't been able to find a satisfying answer.
I have to analyse RNA-seq differential expression data, and I've never done that before. So I have a big list of genes with different FDR and log fold change.
What is your method to extract relevant information from this? I've read that just putting arbitrary threshold is not a good solution, but I don't really know how to filter those results...
Any advice is more than welcome!
• 1,666 views
•
link
updated
by
Benn
•
written
by
guillaume.rbt
•
written
by
guillaume.rbt
1 answer
Log in to answer this question.
More posts like this
-
Which Should Take Priority When Selecting DEGs: FDR or Log Fold Change?
written by bioinfo1994 •
-
Diffbind and DESeq2 comparison for differential sites
written by Ankit
-
Relationship between FDR alpha level and adjusted p-value thresholds
written by basch •
-
Diffbind fold difference calculation
written by Amy •
-
What are the best quantification tools for miRNA seq?
written by cecilomar6 •
-
RNAseq differential expression analysis : no significative FDR but significative GO enrichment
written by guillaume.rbt
-
Clustering use GO analysis (DAVID) Heatmap between different groups
written by khoang3 •
-
How to perform GSEAPreranked analysis in a proper manner?
written by Deepak Tanwar
-
Intersection of multiple methods for RNA-Seq differential expression: conservative or crazy?
written by Adamc
-
RNA seq differential expression clustering tools
written by guillaume.rbt
Hi, You can check this, too:
https://groups.google.com/forum/#!searchin/trinityrnaseq-users/fdr|sort:relevance/trinityrnaseq-users/T9VBfIAMbjU/VPMoYWfpEQAJ
bonne chance!