How to normalize miRNAs from RNA-seq data?
Entering edit mode
6 weeks ago
lluc.cabus ▴ 10


I have the miRNA expression coming from RNA-seq. I have performed differential gene expression and machine learning methods to find a signature to differentiate between patients and controls. With the training cohort, the results look great, but with the validation cohort, the results are not very good (AUC<0.6). I saw in the PCA that the batch for the training and the batch for the validation are separated (not completely, but there is certainly a batch effect).

I have been told that when these problems arise, normally it is good to perform some kind of normalization on the samples. I have performed CPM normalization, but I don't know which other normalization methods could improve the results. I have seen that there are some programs to find endogenous controls for normalization (Normfinder, GeNorm), but I have not seen how to use them with RNA-seq data in R.

There is a current "gold standard" method for miRNA normalization?

Thank you very much, Lluc

RNA-seq miRNA R normalization • 198 views
Entering edit mode
6 weeks ago

My understanding is that typical RNA seq normalizations suffice.

More advice here:

miRNA differential expression


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