The file rf.fs.R includes a set of R functions for processing genetic data using random forests and different classical feature selection methods plus a novel robust cross-validated feature selection methods used in the paper:

Laura Ferré, Ferdinando Clarelli, Béatrice Pignolet, Elisabetta Mascia, Marco Frasca, Silvia Santoro, Melissa Sorosina, David Brassat, Lucia Moiola, Vittorio Martinelli, Roland Liblau, Massimo Filippi, Giorgio Valentini, Federica Esposito
Combining clinical and genetic data to predict response to fingolimod treatment in Relapsing Remitting Multiple Sclerosis patients: a precision medicine approach
(submitted to Multiple Sclerosis Journal)

The library rf.fs.R can be freely used for scientific and research purposes under GPL (>= 2) license.