Metabolomics and Spectral Data Analysis and Mining

Provides methods for metabolomics and spectral data analysis, including data import, preprocessing, visualization, univariate and multivariate analysis, machine learning, feature selection, and pathway analysis. The package supports analytical workflows for different data types used in metabolomics and spectroscopy. Some optional functionality uses the suggested packages 'cyjShiny' and 'specmine.datasets'. The package 'specmine.datasets' is maintained separately at < https://github.com/PedroFontao/specmine.datasets>.


Reference manual

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install.packages("specmine")

4.0.1 by Pedro Fontão, 7 days ago


https://github.com/PedroFontao/specmine


Report a bug at https://github.com/PedroFontao/specmine/issues


Browse source code at https://github.com/cran/specmine


Authors: Christopher Costa [aut] , Marcelo Maraschin [aut] , Miguel Rocha [aut] , Sara Cardoso [aut] , Telma Afonso [aut] , Bruno Pereira [aut] , Pedro Fontão [aut, cre] , Rafael Moreira [aut] , C. Beleites [cph] , Jie Hao [cph]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports baseline, caret, compare, ellipse, genefilter, GGally, ggplot2, grDevices, graphics, impute, imputeTS, MASS, Matrix, methods, Metrics, narray, pcaPP, plotly, pls, RColorBrewer, readJDX, stats, utils

Suggests clusterCrit, curl, dbscan, fastICA, ggdendro, KEGGgraph, KEGGREST, knitr, MAIT, mclust, pins, qdap, qpdf, RCurl, cyjShiny, reticulate, rgl, Rtsne, rmarkdown, scatterplot3d, specmine.datasets, uwot, randomForest, xcms

System requirements: Python (>= 3.5.2), Python module 'nmrglue'


See at CRAN