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Use it when comparing a measure of the expression between two (or more) samples, where the units are relative to the comparison.

2 votes

Comparing differential expression across samples - is batch effect correction needed?

There is no need for batch correction because all your comparisons are within batch. As long as you are making comparisons for each line, and treatment and control for the same line are in the same ba …
Gordon Smyth's user avatar
3 votes

Detecting differentially expressed genes with foldchange >= 2 and FDR < 0.05

The edgeR authors recommend that you use a relatively low logFC threshold for glmTreat such as lfc=log2(1.2). A lfc value as high as lfc=log2(2) is seldom required and only would only be appropriate f …
Gordon Smyth's user avatar
1 vote

Basic RNA Differential Expression in R

I'm thinking first normalize using TMM then compare the mean of the normalized values for treated vs. untreated? That is a bit too simple. You need to analyse your experiment as a paired comparison. …
Gordon Smyth's user avatar
2 votes

Different results in differential expression analysis of microarray data

DE results do not change from one run to another. The code given in your question will give identical results each time you run it.
Gordon Smyth's user avatar