RFmarkerDetector (version 1.0.1)

Multivariate Analysis of Metabolomics Data using Random Forests

Description

A collection of tools for multivariate analysis of metabolomics data, which includes several preprocessing methods (normalization, scaling) and various exploration and data visualization techniques (Principal Components Analysis and Multi Dimensional Scaling). The core of the package is the Random Forest algorithm used for the construction, optimization and validation of classification models with the aim of identifying potentially relevant biomarkers.

Copy Link

Version

Down Chevron

Install

install.packages('RFmarkerDetector')

Monthly Downloads

20

Version

1.0.1

License

GPL-3

Last Published

February 29th, 2016

Functions in RFmarkerDetector (1.0.1)