M. Hallal
M. Hallal

Reputation: 71

Feature selection

I am trying to find a useful feature selection method on a set of 20000 genes from an expression set(microarray) to get a model with the useful genes only. I tried using RFE from caret but I got a stackOverflow since backward selection does not support data where n(predictors) > n(samples). Could anyone suggest a reasonable method to do so, or a solution for this RFE selection method?

Thanks in advance.

Upvotes: 1

Views: 430

Answers (1)

akashrajkn
akashrajkn

Reputation: 2315

did you try using genetic algorithms for feature selection? There are different packages to do this - GA, genalg, caret (in R).

Take a look at this blog, feature selection using genetic algorithms has been explained with example - http://topepo.github.io/caret/GA.html

Hope it helps.

Upvotes: 2

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