Entering edit mode
11.5 years ago
camelbbs
▴
710
Hi All,
I have a question on normalization of rnaseq data. After I get raw reads counts from htseq-count, I want to use zscore to normalize it. Is that reasonable?
And how I can do that. If there have some guides, that will be very helpful.
Thanks a lot!
che
Can you specify why you want to z-transform the data? What are you planning to do with it? My first guess is that this is not a reasonable thing to do, but please provide more information all the same.
I want to make heatmap. And Zscore can make the values centralized by 0, right?
You need to normalize your raw count data first. Z-score will standardize your data, but it won't normalize by library size. Another option is to use variant stabilization method provided by DESeq.
What Damian suggests is what you want....
Hi Damian, Thanks very much. DO you mean Zscore is not a normalization method? IS there any common method for normalizing the raw count, except for DESeq... Can I calculate RPKM first and then do zscore for rpkm...
I also want to ask how to use zscore to standardize my data, is there any package in R?
Standardization can be done using the sweep() function in R.
Thanks a lot Sean.