With a set of pure metabolite spectra, ASICS quantifies metabolites concentration 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>.
https://anaconda.org/bioconda/r-asics/badges/version.svg
https://anaconda.org/bioconda/r-asics/badges/latest_release_date.svg
https://anaconda.org/bioconda/r-asics/badges/latest_release_relative_date.svg
https://anaconda.org/bioconda/r-asics/badges/platforms.svg
https://anaconda.org/bioconda/r-asics/badges/license.svg
https://anaconda.org/bioconda/r-asics/badges/downloads.svg