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]]

