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RFmarkerDetector : Multivariate Analysis of Metabolomics Data using Random Forests

Package: RFmarkerDetector
Type: Package
Title: Multivariate Analysis of Metabolomics Data using Random Forests
Version: 1.0.1
Date: 2016-02-28
Author: Piergiorgio Palla, Giuliano Armano
Maintainer: Piergiorgio Palla <piergiorgio.palla@diee.unica.it>
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.
License: GPL-3
LazyData: true
Imports: randomForest, ggplot2, UsingR, WilcoxCV, ROCR, methods
Depends: AUCRF
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-02-28 19:06:10 UTC; Pg
Repository: CRAN
Date/Publication: 2016-02-29 01:29:57

● Data Source: CranContrib
● 0 images, 27 functions, 2 datasets
● Reverse Depends: 0