Try asking bioconductor list
http://www.bioconductor.org/docs/postingGuide.html
-Johannes
2009/9/22 Rainer Tischler <rainer_t62 at
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 at 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.
>