[limma] Separate Channel Analysis of 2 color data with summarization
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@gordon-smyth
Last seen 41 minutes ago
WEHI, Melbourne, Australia
Dear Ana, Your idea sounds reasonable in principle to me. It seems reasonable to me that summarized values would have somewhat less tight correlation than R/G values on the same spot, so I wouldn't be worried about an intraspot correlation of 0.5. Best wishes Gordon > Date: Mon, 9 Aug 2010 19:02:02 +0200 > From: Ana Conesa <aconesa at="" cipf.es=""> > To: "bioconductor at stat.math.ethz.ch" <bioconductor at="" stat.math.ethz.ch=""> > Subject: [BioC] [limma] Separate Channel Analysis of 2 color data with > summarization > > > Dear List, > > I am analyzing some yeast Nimblegen arrays following the separate channel > analysis of 2 color data of the limma package. After within and between > arrays normalization steps I did a summarization (medianpolish of M and A > values for 12 spots/gene) step to reduce the number of features for > differential expression analysis. My idea was then to calculate > intraspotcorrelation and use the lmscFit function. My question is whether it > should be OK to compute the intra spot correlation and the linear model using > these summarized values. One result that calls my attention is that the > intraspotcorrelation computed on the summarized values has a consensus value > of 0.517. From other posts in the list, it has been mentioned that intraspot > correlation should be above 0.8, so I am wondering if this approach is > conceptually correct. > > Thanks for any suggestion on this topic > > Regards > > -- > Ana Conesa > Bioinformatics and Genomics Department > Centro de Investigaciones Principe Felipe > Avda. Autopista Saler 16, > 46012 Valencia, Spain > Phone: +34 96 328 96 80 > Fax: +34 96 328 97 01 > http://bioinfo.cipf.es/aconesa > http://www.blast2go.org ______________________________________________________________________ The information in this email is confidential and intend...{{dropped:4}}
Normalization Yeast limma Normalization Yeast limma • 659 views
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