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.
