GARS: GARS package for a robust feature selection of...

Description Details Author(s)

Description

The main function of GARS is GARS_GA, which implements a clustering-based Genetic Algorithm to select Robust Subsets of features in high-dimensional datasets. The user can extract the results of GARS_GA, exploiting the assessor methods: MatrixFeatures, LastPop, AllPop and FitScore.

Details

See the package vignette, by typing vignette("GARS") to discover all the GARS_GA functions.

Author(s)

Mattia Chiesa, Giada Maioli, Luca Piacentini


BioinfoMonzino/GARS documentation built on Aug. 2, 2021, 1:08 a.m.