Package: ASICS
Type: Package
Title: Automatic Statistical Identification in Complex Spectra
Version: 2.20.1
Authors@R: c(
    person("Gaëlle", "Lefort", email = "gaelle.lefort@inrae.fr", role = c("aut", "cre")),
    person("Rémi", "Servien", email = "remi.servien@inrae.fr", role = "aut"),
    person("Patrick", "Tardivel", role = "aut"),
    person("Nathalie", "Vialaneix", email = "nathalie.vialaneix@inrae.fr", role = "aut"))
Description: 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>. 
Depends: R (>= 3.5)
Imports: BiocParallel, ggplot2, glmnet, grDevices, gridExtra, methods,
        mvtnorm, PepsNMR, plyr, quadprog, ropls, stats,
        SummarizedExperiment, utils, Matrix, zoo
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Suggests: knitr, rmarkdown, BiocStyle, testthat, ASICSdata
VignetteBuilder: knitr
Collate: 'ASICS.R' 'Spectra-class.R' 'ASICSResults-class.R'
        'AnalysisResults-class.R' 'PureLibrary-class.R' 'alignment.R'
        'analysis_on_quantification.R' 'concentration_optimisation.R'
        'data.R' 'library_transformation.R' 'load_data.R'
        'plotAlignment.R' 'plot_spectrum.R' 'simulation.R'
        'user_guide.R' 'utils.R'
biocViews: Software, DataImport, Cheminformatics, Metabolomics
git_url: https://git.bioconductor.org/packages/ASICS
git_branch: RELEASE_3_19
git_last_commit: 52b7c3d
git_last_commit_date: 2024-05-30
Repository: Bioconductor 3.19
Date/Publication: 2024-06-02
NeedsCompilation: no
Packaged: 2024-06-02 21:06:23 UTC; biocbuild
Author: Gaëlle Lefort [aut, cre],
  Rémi Servien [aut],
  Patrick Tardivel [aut],
  Nathalie Vialaneix [aut]
Maintainer: Gaëlle Lefort <gaelle.lefort@inrae.fr>
Built: R 4.4.0; ; 2024-06-03 11:41:29 UTC; windows
