Hi I would to use DESeq2 to analyse NanoString miRNA expression data. I have a group of 5 - 6 conditioned group, and large set of controls available for comparison (>96). In this case I'm looking at different expression between two cancer types. If I include all cases in one analysis, how reliable would the results be? I also think about breaking the controls into groups of 5-6 cases and perform multiple analysis to have equal size of conditioned and control groups. Would this work? Thanks!
Searching through google with a
site:support.bioconductor.org
modifier(?) is almost always better than using the search functionality baked into this board. For instance, googling for:unbalanced groups rnaseq site:support.bioconductor.org
gets you a few hits:They all speak to this problem ... maybe the first one was the one you were thinking of?
I think it’s not in that list... it’s tricky to even think of the possible variations on keywords to find it. Not an easy solution to find related content on forums!
I found it just by scrolling through DESeq2 posts:
Question regarding class imbalance and low sample size for DESeq2