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ASICS

Automatic Statistical Identification in Complex Spectra

Bioconductor version: 3.23 · Package version: 2.28.0

With a set of pure metabolite reference spectra, ASICS quantifies concentration of metabolites in a complex spectrum. The identification of metabolites is performed by fitting a mixture model to the spectra of the library with a sparse penalty. The method and its statistical properties are described in Tardivel et al. (2017) <doi:10.1007/s11306-017-1244-5>.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("ASICS")

Details

MaintainerGaëlle Lefort <gaelle.lefort@inrae.fr>
AuthorGaëlle Lefort [aut, cre], Rémi Servien [aut], Patrick Tardivel [aut], Nathalie Vialaneix [aut]
LicenseGPL (>= 2)
Downloads rank591
Source branchRELEASE_3_23
biocViewsCheminformatics, DataImport, Metabolomics, Software

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageASICS_2.28.0.tar.gz
Windows binary (x86_64)ASICS_2.28.0.zip
macOS binary (arm64)ASICS_2.28.0.tgz
macOS binary (x86_64)ASICS_2.28.0.tgz
Dependencies

Depends: R (>= 3.5)

Imports: BiocParallel, ggplot2, glmnet, grDevices, gridExtra, methods, mvtnorm, PepsNMR, plyr, quadprog, ropls, stats, SummarizedExperiment, utils, Matrix, zoo

Suggests: knitr, rmarkdown, BiocStyle, testthat, ASICSdata

Reverse dependencies

Suggests Me (1): AlpsNMR