bootfs (1.0.6)

Use multiple feature selection algorithms to derive robust feature sets for two class classification problems..

To select a set of features for classification of two groups of samples, multiple classification and feature selection algorithms are utilised. By combining the results of all methods and applying a bootstrapping approach a robust set of features with high power to distinguish the two groups is selected.

Maintainer: Christian Bender
Author(s): Christian Bender

License: GPL (>= 2)

Uses: Boruta, colorRamps, gplots, igraph0, lhs, mlegp, pamr, penalizedSVM, ROCR, tgp

Released about 7 years ago.