bootfs (1.0.5)

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

To select a highly discriminative set of features classifying two groups of samples, multiple classification and feature selection algorithms are utilised. By combining the results of all methods and selecting features in a bootstrapping approach, a robust set of discriminative features is selected.

Maintainer: Christian Bender
Author(s): Christian Bender

License: GPL (>= 2)

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

Released over 7 years ago.