Does it make sense to use methylation data for GESA
I came across ChAMP which analyzes methylation data using GSEA. I know that DNA methylation and corresponding mRNA expression are interconnected in some degree. However, does it really make sense to use gene groups clustered by methylation for GSEA which is based on mRNA expression?
0 answers
No answers yet.
Log in to answer this question.
More posts like this
-
Function normalize raw microarray data for GSVA
written by Chris •
-
Differential expression at pathway level
written by Chris •
-
decoupleR & Transcription Factory Activity Inference: pvalue or padj?
written by OST •
-
how to bring in the cells in a gate from openCyto into the CATALYST pipeline (flow cytometry)
written by msn •
-
Differential transcript expression / differential isoform expression tool tutorial
written by firestar
-
GSEA, input metrics
written by chipolino •
-
What is the meaning of Bumphunter output?
written by boyu93 •
-
How to start with bamsignals
written by Lila M
-
How do I find out regions of methylation enrichment using MEDIPS bioconductor package?
written by lakhujanivijay
-
DNAcopy plateaus plot
written by 2nelly
