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://bio.di.uminho.pt/metabolomicspackage/index.html>. This package suggests 'rcytoscapejs', a package not in mainstream repositories. If you need to install it, use: devtools::install_github('cytoscape/[email protected]').
Version: | 3.0.3 |
Depends: | R (≥ 4.0.0) |
Imports: | caret, e1071, ggplot2, impute, ellipse, GGally, pcaPP, compare, baseline, MASS, pls, readJDX, speaq, genefilter, RColorBrewer, grDevices, graphics, methods, stats, utils, Metrics, imputeTS, specmine.datasets |
Suggests: | ggdendro, reticulate, qdap, scatterplot3d, MAIT, xcms, KEGGgraph, KEGGREST, rcytoscapejs, rgl, grid, curl, RCurl |
Published: | 2020-12-17 |
Author: | Christopher Costa [aut], Marcelo Maraschin [aut], Miguel Rocha [aut, cre], Sara Cardoso [aut], Telma Afonso [aut], Bruno Pereira [aut], C. Beleites [cph], Jie Hao [cph], |
Maintainer: | Miguel Rocha <mrocha at di.uminho.pt> |
BugReports: | https://github.com/BioSystemsUM/specmine/issues |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | https://github.com/BioSystemsUM/specmine |
NeedsCompilation: | no |
SystemRequirements: | Python (>=3.5.2) and the following python module: nmrglue. |
Materials: | README |
CRAN checks: | specmine results |
Reference manual: | specmine.pdf |
Package source: | specmine_3.0.3.tar.gz |
Windows binaries: | r-devel: specmine_3.0.3.zip, r-release: specmine_3.0.3.zip, r-oldrel: not available |
macOS binaries: | r-release: specmine_3.0.3.tgz, r-oldrel: not available |
Old sources: | specmine archive |
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