Nothing
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
Browse package contents
Package details |
|
|---|---|
| Author | Piergiorgio Palla, Giuliano Armano |
| Maintainer | Piergiorgio Palla <piergiorgio.palla@diee.unica.it> |
| License | GPL-3 |
| Version | 1.0.1 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the RFmarkerDetector package in your browser
Any scripts or data that you put into this service are public.
