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.

Version: 1.0.1
Depends: AUCRF
Imports: randomForest, ggplot2, UsingR, WilcoxCV, ROCR, methods
Published: 2016-02-29
Author: Piergiorgio Palla, Giuliano Armano
Maintainer: Piergiorgio Palla <piergiorgio.palla at diee.unica.it>
License: GPL-3
NeedsCompilation: no
CRAN checks: RFmarkerDetector results


Reference manual: RFmarkerDetector.pdf
Package source: RFmarkerDetector_1.0.1.tar.gz
Windows binaries: r-devel: RFmarkerDetector_1.0.1.zip, r-release: RFmarkerDetector_1.0.1.zip, r-oldrel: RFmarkerDetector_1.0.1.zip
OS X El Capitan binaries: r-release: RFmarkerDetector_1.0.1.tgz
OS X Mavericks binaries: r-oldrel: RFmarkerDetector_1.0.1.tgz
Old sources: RFmarkerDetector archive


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