question about edgeR and Poisson model: common dispersion is too low
0
0
Entering edit mode
@gordon-smyth
Last seen 3 hours ago
WEHI, Melbourne, Australia
Dear Galina, Getting a small dispersion is good, not bad. Your experiment is giving a bioligical CV of about 14% = sqrt(0.01859). In our experience, that is typical or even on the high side for controlled experiments. See comments in the discussion of the following paper: http://nar.oxfordjournals.org/content/early/2012/02/06/nar.gks042 Note that, while a dispersion 0f 0.019 may look small, it is still vastly different from assuming Poisson variability. You give a quote from the first case study of the edgeR User's Guide. That data was from an observational study on human tumours, obviously highly variable data. Best wishes Gordon ------------ original message -------------- [BioC] question about edgeR and Poisson model: common dispersion is too low Glazko, Galina V GVGlazko at uams.edu Tue Apr 10 16:26:03 CEST 2012 Dear list, dear Dr. Smyth I am analyzing RNA-Seq data for the first time and I am confused with the value of common dispersion. I have only two replicates between conditions (A1,A2: normal; B1,B2: oxidative stress) and the value of common dispersion is > d2<-estimateCommonDisp(d2) > d2$common.dispersion [1] 0.01859112 As far as I understand it is too low, is it? In the User Guide it is written that 'a common dispersion estimate of 0.2 means that there is a lot more variability in the data that can be accounted for by the Poisson model' My estimate is much lower. Does it mean that I have to use Poisson model instead of NB? If I have to use Poisson model, is it possible to do with edgeR package? I would appreciate your advices! Best regards Galina > sessionInfo() R version 2.15.0 (2012-03-30) Platform: i386-pc-mingw32/i386 (32-bit) locale: [1] LC_COLLATE=English_United States.1252 LC_CTYPE=English_United States.1252 LC_MONETARY=English_United States.1252 [4] LC_NUMERIC=C LC_TIME=English_United States.1252 attached base packages: [1] splines stats graphics grDevices utils datasets methods base other attached packages: [1] edgeR_2.6.0 limma_3.12.0 BiocInstaller_1.4.3 loaded via a namespace (and not attached): [1] tools_2.15.0 ______________________________________________________________________ The information in this email is confidential and intend...{{dropped:4}}
edgeR edgeR • 884 views
ADD COMMENT

Login before adding your answer.

Traffic: 973 users visited in the last hour
Help About
FAQ
Access RSS
API
Stats

Use of this site constitutes acceptance of our User Agreement and Privacy Policy.

Powered by the version 2.3.6