-
It kind of depends on what you're doing. "Comparing" isn't enough information to give you any good advice. For DE analysis, some sort of library size normalization (TMM or otherwise) would be normal. For visual comparisons, perhaps a variance-stabilization transform would be more useful. -
what normalization should I do to compare featureCount outcome
I am using featureCount from Rsubread package. What normalization should I do after running the featureCount? I want to compare reads from 6 different samples.
-
The complexity of cancer is clearly demonstrated in the diverse ecosystem of the tumor microenvironment (TME). The TME is made up of numerous cell types and its development begins with the changes that happen during oncogenesis. “Genomic mutations, copy number changes, epigenetic alterations, and alternative gene expression occur to varying degrees within the affected tumor cells,” explained Andrea O’Hara, Ph.D., Strategic Technical Specialist at Azenta. “As...07-08-2024, 03:19 PM
Leave a comment: