bootfs: 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.

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