Package: ASICS
Type: Package
Title: Automatic Statistical Identification in Complex Spectra
Version: 2.2.0
Authors@R: c(
    person("Gaëlle", "Lefort", email = "gaelle.lefort@inra.fr", role = c("aut", "cre")),
    person("Rémi", "Servien", email = "remi.servien@inra.fr", role = "aut"),
    person("Patrick", "Tardivel", email = "patrick.tardivel@inra.fr", role = "aut"),
    person("Nathalie", "Vialaneix", email = "nathalie.vialaneix@inra.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, grDevices, gridExtra, methods, PepsNMR,
        plyr, quadprog, ropls, stats, SummarizedExperiment, TSdist,
        utils, Matrix, zoo
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
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' 'user_guide.R' 'utils.R'
biocViews: Software, DataImport, Cheminformatics, Metabolomics
git_url: https://git.bioconductor.org/packages/ASICS
git_branch: RELEASE_3_10
git_last_commit: a8eba84
git_last_commit_date: 2019-10-29
Date/Publication: 2019-10-29
NeedsCompilation: no
Packaged: 2019-10-30 04:21:12 UTC; biocbuild
Author: Gaëlle Lefort [aut, cre],
  Rémi Servien [aut],
  Patrick Tardivel [aut],
  Nathalie Vialaneix [aut]
Maintainer: Gaëlle Lefort <gaelle.lefort@inra.fr>
Built: R 3.6.1; ; 2019-10-30 12:41:03 UTC; windows
