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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.
4
votes
1
answer
69
views
Analyzing Illumina Counts
Is there some normalization procedure I should go through?
Thanks! …
4
votes
2
answers
9k
views
RNAseq: Z score, Intensity, and Resources
I'm very new to bioinformatics in general, and I'm trying to understand some basic concepts.
I have RNAseq data, and bioinformatics people tell me that intensities cannot be compared across patients. …