Reputation: 71
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
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