[BioC] classification method applied to microarrays (CMA package)
Juan Carlos Oliveros Collazos
oliveros at cnb.csic.es
Tue Oct 27 12:21:39 CET 2009
I am starting using the CMA package for classification of microarray
In particular, I want to know which genes are the main responsible for
separating about 60 lists of expression values into 2 groups that are
already known. I understand that SVM is a good method to find the
hyperplane that best separate the two groups but what I need are the
genes, not the hyperplane parameters.
My questions are:
To get a list of genes, should I use in some manner SVMs (or another
classification method) or what I need is simply to identify the
"informative" genes by using GeneSelection function of CMA package?
If so, the learning sets are needed? why?
Any recomendation for choosing a gene selection method?
Thanks in advance.
Juan Carlos Oliveros
CNB-CSIC, Madrid, Spain
More information about the Bioconductor