Question: Benchmarking DESeq / EdgeR / LIMMA vs Lasso vs RF
gravatar for fr
7 weeks ago by
fr150 wrote:


I'm wondering if anyone is aware of any benchmarking between approaches traditionally used in RNAseq or microarray analysis (e.g. DESeq2 / EdgeR / LIMMA) against others such as Random Forest or Lasso regression to identify genes / transcripts that are differentially expressed between conditions?

I'm aware that there may be different assumptions about data distributions, but still I'm curious about this. I tried searching for this but cannot find anything...

Thanks in advance

rf edger deseq limma lasso • 146 views
ADD COMMENTlink written 7 weeks ago by fr150

To my knowledge, this has never been tested.

Dedicated tools to analyze expression data are designed to accommodate specific difficulties, such as the high number of dimension and the usually (very) low number of replicates. I expect regression of any kind to perform poorly in comparison, because of those difficulties (try to fit a line when you have only 2 or 3 replicates). Not sure how a random forest would be useful in that context.

ADD REPLYlink written 7 weeks ago by Carlo Yague5.2k
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