[BioC] Using DESeq or EdgeR for Exon Differential Expression Analysis
Naomi Altman
naomi at stat.psu.edu
Fri Apr 1 00:59:54 CEST 2011
There should not be a problem as long as you have read counts for
each exon. The main issue is that you have little power if the
number of reads for a feature is small. So you will need high
coverage. You might want to use a normalization method such as the
quantile method in edgeR, as I am not sure the others have been
tested for this type of data. (
--Naomi
At 02:18 PM 3/31/2011, adeonari at mrc-lmb.cam.ac.uk wrote:
>Hello Bioconductor community,
>
>We were wondering if it would be possible to perform differential
>expression analysis of exon expression using DESeq or EdgeR. Would the
>statistical assumptions be the same, and has anyone attempted this type of
>analysis? Any feedback or insights would be really appreciated!
>
>Cheers,
>
>Andrew
>
>_______________________________________________
>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
More information about the Bioconductor
mailing list