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.
|Author||Christopher Costa <[email protected]> [aut], Marcelo Maraschin <[email protected]> [aut], Miguel Rocha <[email protected]> [aut, cre], Sara Cardoso <[email protected]> [aut], Telma Afonso <[email protected] [aut]>, C. Beleites [ctb], Jie Hao [ctb], Daniel Jacob [ctb]|
|Maintainer||Miguel Rocha <[email protected]>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
Install the latest version of this package by entering the following in R:
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.