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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.
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What is a good rule of thumb for the threshold of noise versus signal for RPK in RNA seq?
I have RPK values (RNA seq) and I'm wondering what is a good rule of thumb for what is considered to be noise versus what is considered to be signal? I.e what should I choose as a threshold value for …
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What is a good RNA seq normalization method that allows for across sample comparisons and be...
What is a good RNA seq normalization method that allows for across sample comparisons, and allows between transcripts comparisons as well? …
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What unit (TPM, FPKM/RPKM, or other) to use when working across samples
I have raw gene read counts and would like to perform an analysis across multiple samples. I've found conflicting info online on how this should be done. One commonality however is that FPKM/RPKM shou …