ASICS

Automatic Statistical Identification in Complex Spectra


Bioconductor version: Release (3.20)

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) .

Author: Gaëlle Lefort [aut, cre], Rémi Servien [aut], Patrick Tardivel [aut], Nathalie Vialaneix [aut]

Maintainer: Gaëlle Lefort <gaelle.lefort at inrae.fr>

Citation (from within R, enter citation("ASICS")):

Installation

To install this package, start R (version "4.4") and enter:


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

BiocManager::install("ASICS")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("ASICS")
ASICS HTML R Script
ASICS HTML R Script
Reference Manual PDF
NEWS Text

Details

biocViews Cheminformatics, DataImport, Metabolomics, Software
Version 2.22.0
In Bioconductor since BioC 3.7 (R-3.5) (6.5 years)
License GPL (>= 2)
Depends R (>= 3.5)
Imports BiocParallel, ggplot2, glmnet, grDevices, gridExtra, methods, mvtnorm, PepsNMR, plyr, quadprog, ropls, stats, SummarizedExperiment, utils, Matrix, zoo
System Requirements
URL
See More
Suggests knitr, rmarkdown, BiocStyle, testthat, ASICSdata
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me AlpsNMR
Links To Me
Build Report Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package ASICS_2.22.0.tar.gz
Windows Binary (x86_64) ASICS_2.22.0.zip
macOS Binary (x86_64) ASICS_2.22.0.tgz
macOS Binary (arm64) ASICS_2.21.2.tgz
Source Repository git clone https://git.bioconductor.org/packages/ASICS
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/ASICS
Bioc Package Browser https://code.bioconductor.org/browse/ASICS/
Package Short Url https://bioconductor.org/packages/ASICS/
Package Downloads Report Download Stats