specmine: Metabolomics and Spectral Data Analysis and Mining

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.

Getting started

Package details

AuthorChristopher 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]>, C. Beleites [ctb], Jie Hao [ctb], Daniel Jacob [ctb]
MaintainerMiguel Rocha <mrocha@di.uminho.pt>
LicenseGPL (>= 2)
Version2.0.3
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("specmine")

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specmine documentation built on May 2, 2019, 3:10 a.m.