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, feature selection and pathway analysis. Case studies can be found on the website: <http://darwin.di.uminho.pt/metabolomicspackage/index.html>. 'rcytoscapejs' is not present in a mainstream repository, but it can be obtained by typing 'devtools::install_github('cytoscape/r-cytoscape.js')' on the R command line.
| Version: | 2.0.3 |
| Depends: | R (≥ 3.4.0) |
| Imports: | compare, hyperSpec, readJDX, baseline, rgl, Metrics, GGally, ggplot2, ellipse, ggdendro, caret, pls, pcaPP, RColorBrewer, grid, methods, qdap, MASS, scatterplot3d, xcms, MAIT, genefilter, impute, igraph, KEGGgraph, KEGGREST, reticulate, gdata, speaq, devtools |
| Suggests: | rcytoscapejs |
| Published: | 2018-05-15 |
| Author: | Christopher Costa [aut], Marcelo Maraschin [aut], Miguel Rocha [aut, cre], Sara Cardoso [aut], Telma Afonso, C. Beleites [ctb], Jie Hao [ctb], Daniel Jacob [ctb] |
| Maintainer: | Miguel Rocha <mrocha at di.uminho.pt> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| SystemRequirements: | Python (>=3.5.2) and the following python modules: isatools, os, ftplib, glob, logging, pandas, tempfile, shutil, re, nmrglue. |
| CRAN checks: | specmine results |
| Reference manual: | specmine.pdf |
| Package source: | specmine_2.0.3.tar.gz |
| Windows binaries: | r-devel: specmine_2.0.3.zip, r-release: specmine_2.0.3.zip, r-oldrel: specmine_2.0.3.zip |
| OS X binaries: | r-release: not available, r-oldrel: not available |
| Old sources: | specmine archive |
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