ASICS

This is the development version of ASICS; for the stable release version, see ASICS.

Automatic Statistical Identification in Complex Spectra

Bioconductor version: Development (3.23)

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 "4.6") and enter:


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("ASICS")

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

Documentation


Reference Manual	PDF

Need some help? Ask on the Bioconductor Support site!

Details

biocViews	Cheminformatics, DataImport, Metabolomics, Software
Version	2.27.0
In Bioconductor since	BioC 3.7 (R-3.5) (7.5 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

Suggests	knitr, rmarkdown, BiocStyle, testthat, ASICSdata
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Build Report	Build Report

Package Archives

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

Source Package
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository	git clone https://git.bioconductor.org/packages/ASICS
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/ASICS
Package Short Url	https://bioconductor.org/packages/ASICS/
Package Downloads Report	Download Stats