Control or ignore random effects?
I would like to know what are the general thoughts (from people who actually understand this stuff) on this article: What if we ignore the random effects when analyzing RNA-seq data in a multifactor experiment.
Should we ignore ignore random effects, fix them, manual GLMM or does empirical Bayes solve all this?
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