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The tricky art of scaling quantitative data across libraries, typically to account for differences in sequencing depth. This can also be about scaling for read source length, like transcript or gene length, in order to enable comparisons across genes.
1
vote
Accepted
Calculating Z-score from logCPM values using edgeR
Yes this is nothing but a z-score. The scale function calculates column z-scores, but since you use t (transpose), it is actually performed on rows. There are many other ways to calculate z-scores, bu …
4
votes
Accepted
How to quantile normalization on RNA seq counts
In that tutorial they made a function to calculate quantile normalization. Here an example with that function on your small data set. …
4
votes
Accepted
RNAseq: Z score, Intensity, and Resources
It depends on what test or analysis you want to do, whether you need intensities (expression values) or z-scores.
If you want to do statistical analysis, such as finding differentially expressed gene …