Hello,
I am looking for an article or video which explains how the normalization in the limma voom is performed. I looked for some articles but I could not find any which explains it clearly. Can someone help me in this regard?
A good place to start would be to look back to where limma was originally used, i.e., for microarray analyses and microarray normalisation, and i highly recommend Professor John Quackenbush's great paper on this: http://www.cs.cmu.edu/~zivbj/class05/reading/norm.pdf
Then I would read-up on linear modelling and linear regression, as limma is fundamentally based on linear modelling.
Finally, with that under your belt, I would read the actual work by the 'new' limma authors:
Part of being a great researcher is being able to read and understand your colleagues' published works, but I can understand that entering a new field can take time when there are literally 1000s of articles already out there on the topic.
StatQuest has an awesome video explaining the QN process. Also check it for other interesting topics from the stats/machine learning world:
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Thank you very much, Kevin. This is really helpful.
Absolutely no problem !