Message-ID: <F425E913-5CEC-4A3D-9D7F-053EACB0D03F@me.com>
Date: 2012-11-19T15:16:49Z
From: Peter Kupfer
Subject: Classification methods - which one?
Dear all,
i searched for some classification methods and I have no glue if i took the right once.
My problem: I have a matrix with 17000 rows and 33 colums (genes and patients). The patients are grouped into 3 diseases.
No I want to classify the patients and for sure i want to know which rows are more helpful for the classification than others.
I tried SVM and random forest. Do you think this are the right classification methods? Maybe there are some hints you can give me. I am more familiar with the Bioconductor packages. Furthermore: This is/was not my field of study in the past but I want to understand it and I am willing to deal with this field.
Would be amazing if one of the (more) mathematical people can give me a hint.
Thanks and all the best
Peter
PS: I can upload my underlying data if somebody is interested