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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/r-cytoscape.js@v0.0.7').
Package details |
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Author | Christopher Costa <chrisbcl@hotmail.com> [aut], Marcelo Maraschin <mtocsy@gmail.com> [aut], Miguel Rocha <mrocha@di.uminho.pt> [aut, cre], Sara Cardoso <saracardoso501@gmail.com> [aut], Telma Afonso <telma.afonso94@gmail.com> [aut], Bruno Pereira <pereirinha_bp@hotmail.com> [aut], C. Beleites [cph], Jie Hao [cph], |
Maintainer | Miguel Rocha <mrocha@di.uminho.pt> |
License | GPL (>= 2) |
Version | 3.1.6 |
URL | https://github.com/BioSystemsUM/specmine |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
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