fastJT: An R package for robust and efficient feature selection for machine learning and genome-wide association studies

Parametric feature selection methods for machine learning and association studies based on genetic data are not robust with respect to outliers or influential observations. While rank-based, distribution-free ...
Source: BMC Bioinformatics - Category: Bioinformatics Authors: Tags: Software Source Type: research