gravatar for innyus

2 hours ago by

Hi all!

I am a beginner in R. I am currently working on gene expression data (Nanostring). The data is normalized, house-keeping genes and low abundance have been removed and the data have been log2 transformed.

I have done DE analysis with limma.

Question: do I need to use scale(data) before running the analysis? I tried both scaling and without and the result are pretty similair but there are some differences. Same goes when I did PCA, the results rate almost same but not quite.

Main question: does one always have to use scale() on the data (even normalized, log2 transformed)? Can scale() ever ”damage” the results/data?



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