[BioC] choosing normalization method for RNA-seq analysis
Wolfgang Huber
whuber at embl.de
Sat Mar 19 11:21:02 CET 2011
Fernando,
does it matter? I.e., for your data, do you get substantially different
results from the different methods? If so, that might indicate a
weakness of the data quality or of the experimental design that you
would need to investigate in a manner specific to the dataset.
Unsurprisingly, my personal favorite is "RLE".
Wolfgang
Biase, Fernando scripsit 17/03/11 22:53:
> Hi
>
> Working with edgeR package to analyze RNA-seq data, we have three
> options of normalization within calcNormFactors() function. Is there
> a way to test which one is more suitable for the data? If there is no
> test, is there a criteria to choose one over the other?
>
> Thanks in advance, Fernando
>
> _______________________________________________ Bioconductor mailing
> list Bioconductor at r-project.org
> https://stat.ethz.ch/mailman/listinfo/bioconductor Search the
> archives:
> http://news.gmane.org/gmane.science.biology.informatics.conductor
--
Wolfgang Huber
EMBL
http://www.embl.de/research/units/genome_biology/huber
More information about the Bioconductor
mailing list