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Comment: Phenotype effect - building a contrast matrix - grouping vs interaction by Gordon Smyth 48k

I am telling you that `LS_B.vs.NL_B` is completely uninteresting. You need instead to examine `LS_Y.vs.NL_Y` and `LS_N.vs.NL_N` separately.

Answer: Batch correction and repeated measures by Gordon Smyth 48k

You should just do a standard limma analysis as recommended in previous posts. ``` design <- model.matrix(~0 + Sample.Type + batch) fit <- …

Comment: DESeq2, results(dds, name = <reference>) interpretation results by Rockbar • 0

When I apply the model.matrix approach for getting the contrasts, the code > mod_mat <- model.matrix(design(dds), colData(dds)) > CondA.t…

Comment: DESeq2, results(dds, name = <reference>) interpretation results by Rockbar • 0

Yes, I agree, the correct contrast setting is quite challenging. The vignette says >contrast: a list of 2 character vectors: the names of…

Comment: Does countsFromAbundance="lengthScaledTPM" produce un-normalized counts? by Michael Love 40k

Advantage and disadvantage depends on the aim, what you plan to do with them (testing, plots, etc.). lengthScaledTPM puts back *in* the ge…

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Scholar to James W. MacDonald 63k