ASICS
Automatic Statistical Identification in Complex Spectra
Bioconductor version: 3.23 · Package version: 2.28.0
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>.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("ASICS") Details
| Maintainer | Gaëlle Lefort <gaelle.lefort@inrae.fr> |
| Author | Gaëlle Lefort [aut, cre], Rémi Servien [aut], Patrick Tardivel [aut], Nathalie Vialaneix [aut] |
| License | GPL (>= 2) |
| Downloads rank | 591 |
| Source branch | RELEASE_3_23 |
| biocViews | Cheminformatics, DataImport, Metabolomics, Software |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | ASICS_2.28.0.tar.gz |
| Windows binary (x86_64) | ASICS_2.28.0.zip |
| macOS binary (arm64) | ASICS_2.28.0.tgz |
| macOS binary (x86_64) | ASICS_2.28.0.tgz |
Dependencies
Depends: R (>= 3.5)
Imports: BiocParallel, ggplot2, glmnet, grDevices, gridExtra, methods, mvtnorm, PepsNMR, plyr, quadprog, ropls, stats, SummarizedExperiment, utils, Matrix, zoo
Reverse dependencies
Suggests Me (1): AlpsNMR