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