Dear Varpal, I don't think someone is going to give you a tutorial on clustering with bioconductor here. You'll have to get in touch with basics of microarray clustering yourself. To get you started, fundamental R packages for clustering analysis are "cluster", "class", "stats". To cluster genes (for instance) you will have to choose a metric, *ie* a similarity measure to define how 'close' 2 different genes are. But Fold-Change is not a distance and so won't be at the basis of a unsupervised clustering. Regards, tony On 29 April 2010 18:36, Andreia Fonseca <andreia.fonseca@gmail.com> wrote: > Dear Varpal, > > I think you should create it based on fold change. > Regards, > Andreia > On Thu, Apr 29, 2010 at 1:20 PM, varpal singh <gilvarpal@gmail.com> wrote: > > > Dear Madam/Sir,, > > > > Can you tell me about clustering of microarray data into Bioconductor > that > > is occur on the basis of expression value > > or we can create cluster on the basis of Fold Change ?? > > > > Thank you > > Varpal > > > > [[alternative HTML version deleted]] > > > > _______________________________________________ > > Bioconductor mailing list > > Bioconductor@stat.math.ethz.ch > > https://stat.ethz.ch/mailman/listinfo/bioconductor > > Search the archives: > > http://news.gmane.org/gmane.science.biology.informatics.conductor > > > > > > -- > -------------------------------------------- > Andreia J. Amaral > Unidade de Imunologia Clínica > Instituto de Medicina Molecular > Universidade de Lisboa > email: andreiaamaral@fm.ul.pt > andreia.fonseca@gmail.com > > [[alternative HTML version deleted]] > > > _______________________________________________ > Bioconductor mailing list > Bioconductor@stat.math.ethz.ch > https://stat.ethz.ch/mailman/listinfo/bioconductor > Search the archives: > http://news.gmane.org/gmane.science.biology.informatics.conductor > [[alternative HTML version deleted]]