Provides a set of methods for metabolomics
data analysis, including data loading in different formats,
pre-processing, metabolite identification, univariate and multivariate
data analysis, machine learning and feature selection. Case studies
can be found on the website: http://darwin.di.uminho.pt/metabolomics .
| Version: |
1.0 |
| Depends: |
R (≥ 3.1.0) |
| Imports: |
compare, hyperSpec, ChemoSpec, baseline, rgl, Metrics, GGally, ggplot2, ellipse, ggdendro, caret, pls, pcaPP, RColorBrewer, grid, methods, qdap, MASS, scatterplot3d, xcms, MAIT, genefilter, impute |
| Published: |
2015-11-10 |
| Author: |
Christopher Costa,
Marcelo Maraschin,
Miguel Rocha |
| Maintainer: |
Christopher Costa <chrisbcl at hotmail.com> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
no |
| CRAN checks: |
specmine results |