[BioC] Creating 2 Gaussian Probability Density Function
Matthew McCall
mccallm at gmail.com
Wed Apr 13 22:28:24 CEST 2011
Viritha,
For present/absent calls on Affy arrays, you might want to look into
the barcode function in the frma package. This does something similar
to what you want to do but uses a huge database of arrays to estimate
the mixture distribution ahead of time.
Best,
Matt
On Wed, Apr 13, 2011 at 3:50 PM, viritha kaza <viritha.k at gmail.com> wrote:
> Hi Group,
> I have GCRMA normalised Affymetrix dataset.With this I wanted to find
> present and absent probes using Gaussian mixture model,by creating 2
> Gaussian probability density function,one for present and the other for
> absent.The probes whose average intensity across all the samples, larger
> than threshold value where the 2 gaussian PDFs meet is to be considered as
> present.
> To do the analysis I was suggested to use Mclust package. But could anyone
> suggest some fuctions in the package that would be useful in this task on
> which I could focus on.
> Thanks,
> Viritha
>
> [[alternative HTML version deleted]]
>
> _______________________________________________
> Bioconductor mailing list
> Bioconductor at r-project.org
> https://stat.ethz.ch/mailman/listinfo/bioconductor
> Search the archives: http://news.gmane.org/gmane.science.biology.informatics.conductor
>
--
Matthew N McCall, PhD
112 Arvine Heights
Rochester, NY 14611
Cell: 202-222-5880
More information about the Bioconductor
mailing list