ASICS: Automatic Statistical Identification in Complex Spectra

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>.

Package details

AuthorGaëlle Lefort [aut, cre], Rémi Servien [aut], Patrick Tardivel [aut], Nathalie Vialaneix [aut]
Bioconductor views Cheminformatics DataImport Metabolomics Software
MaintainerGaëlle Lefort <[email protected]>
LicenseGPL (>= 2)
Version1.2.0
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("ASICS")

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ASICS documentation built on Nov. 1, 2018, 5:06 a.m.