fjcamlab/cohesiveness: Non-parametric feature selection for large omic datasets

A non-parametric and fast method for feature selection purposes on large omic datasets. This method is intended to be non-platform dependent, perfectly applicable to any omic dataset where where categories of samples to compare are known.

Getting started

Package details

AuthorFrancisco Jose Campos-Laborie
MaintainerFrancisco Jose Campos-Laborie <fjcamlab@gmail.com>
LicenseGPL (>=3)
Version0.1.0
URL https://github.com/fjcamlab/cohesiveness
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("fjcamlab/cohesiveness")
fjcamlab/cohesiveness documentation built on May 6, 2019, 12:09 p.m.