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: |
3.1.6 |
| 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, mrbin, plotly, narray |
| Suggests: |
ggdendro, reticulate, qdap, qpdf, scatterplot3d, MAIT, xcms, KEGGgraph, KEGGREST, rcytoscapejs, rgl, grid, curl, RCurl, pins, knitr, rmarkdown |
| Published: |
2021-09-21 |
| 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 |