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.


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install.packages("RFmarkerDetector")

1.0.1 by Piergiorgio Palla, 2 years ago


Browse source code at https://github.com/cran/RFmarkerDetector


Authors: Piergiorgio Palla, Giuliano Armano


Documentation:   PDF Manual  


GPL-3 license


Imports randomForest, ggplot2, UsingR, WilcoxCV, ROCR, methods

Depends on AUCRF


See at CRAN