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-Johannes 2009/9/22 Rainer Tischler <rainer_...@yahoo.de>: > Dear all, > > I have received a microarray data set in standard Affymetrix CEL-format > consisting of only six samples without any replicates (same organism and > cell type, but different individuals and different biological conditions for > each individual; the same Affymetrix GeneChip platform was used for all > samples). Moreover, the data was apparently collected without any a-priori > biological hypothesis. > > I know that it is impossible to apply standard clustering, feature selection > or classification techniques in this case. However, I am wondering whether > anybody is aware of a method in R to extract meaningful biological > information in this case (i.e. from single-sample microarray data or from > multiple samples with different biological conditions and no replicates) - or > is there nothing I can do given the above limitations? > > Many thanks, > Rainer > > WikipediaWictionaryChambers (UK)Google imagesGoogle defineThe Free > DictionaryJoin exampleWordNetGoogleUrban > DictionaryAnswers.comrhymezone.comMerriam-Webster<>0 > wvcidfjoguarm > > > > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
