ASICS
Automatic Statistical Identification in Complex Spectra
Bioconductor version: Release (3.19)
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("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 | ||
NEWS | Text |
Details
biocViews | Cheminformatics, DataImport, Metabolomics, Software |
Version | 2.20.1 |
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 | |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | ASICS_2.20.1.tar.gz |
Windows Binary (x86_64) | ASICS_2.20.1.zip |
macOS Binary (x86_64) | ASICS_2.20.1.tgz |
macOS Binary (arm64) | ASICS_2.20.1.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/ASICS |
Source Repository (Developer Access) | git clone [email protected]:packages/ASICS |
Bioc Package Browser | https://code.bioconductor.org/browse/ASICS/ |
Package Short Url | https://bioconductor.org/packages/ASICS/ |
Package Downloads Report | Download Stats |
Old Source Packages for BioC 3.19 | Source Archive |