RFmarkerDetector: Multivariate Analysis of Metabolomics Data using Random Forests

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.

Getting started

Package details

AuthorPiergiorgio Palla, Giuliano Armano
MaintainerPiergiorgio Palla <[email protected]>
Package repositoryView on CRAN
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RFmarkerDetector documentation built on May 2, 2019, 3:42 p.m.