Package: ASICS 2.23.0

Gaëlle Lefort

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>.

Authors:Gaëlle Lefort [aut, cre], Rémi Servien [aut], Patrick Tardivel [aut], Nathalie Vialaneix [aut]

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ASICS.pdf |ASICS.html
ASICS/json (API)
NEWS

# Install 'ASICS' in R:
install.packages('ASICS', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:

On BioConductor:ASICS-2.21.2(bioc 3.20)ASICS-2.20.1(bioc 3.19)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

softwaredataimportcheminformaticsmetabolomics

4.18 score 30 scripts 372 downloads 34 exports 121 dependencies

Last updated 23 days agofrom:034bc20bb1. Checks:OK: 1 WARNING: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 30 2024
R-4.5-winWARNINGOct 30 2024
R-4.5-linuxWARNINGOct 30 2024
R-4.4-winWARNINGOct 30 2024
R-4.4-macWARNINGOct 30 2024
R-4.3-winWARNINGOct 30 2024
R-4.3-macWARNINGOct 30 2024

Exports:alignSpectraASICSASICSUsersGuidebinningcreatePureLibrarycreateSpectraformatForAnalysisgetBestModelgetCVErrorgetDatasetgetDeformedLibrarygetMeanByGroupgetNbProtonsgetNormMethodgetNormParamsgetPpmGridgetQuantificationgetReconstructedSpectragetResultsgetSampleNamegetSpectragetTypeAnalysisgetTypeDataimportSpectraimportSpectraBrukerkruskalWallisnormaliseSpectraoplsdapcaplotplotAlignmentshowsimulate_spectrasummary

Dependencies:abindaskpassbase64encBHBiobaseBiocBaseUtilsBiocGenericsBiocParallelbslibcachemcalibrateclicodetoolscolorspacecpp11crayoncrosstalkcurldata.tableDelayedArraydigestdplyrevaluatefansifarverfastmapfontawesomeforeachformatRfsfutile.loggerfutile.optionsgenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesggplot2ggrepelglmnetgluegridExtragtablehighrhtmltoolshtmlwidgetshttrIRangesisobanditeratorsjquerylibjsonliteknitrlabelinglambda.rlaterlatticelazyevallifecyclelimmamagrittrMASSMatrixMatrixGenericsmatrixStatsmemoisemgcvmimeMultiAssayExperimentMultiDataSetmunsellmvtnormnlmeopensslPepsNMRpillarpkgconfigplotlyplyrpromisesptwpurrrqqmanquadprogR6rappdirsRColorBrewerRcppRcppArmadilloRcppDERcppEigenreshape2rlangrmarkdownroplsS4ArraysS4VectorssassscalesshapesnowSparseArraystatmodstringistringrSummarizedExperimentsurvivalsystibbletidyrtidyselecttinytexUCSC.utilsutf8vctrsviridisLitewithrxfunXVectoryamlzlibbioczoo

Automatic Statistical Identification in Complex Spectra (ASICS)

Rendered fromASICS.Rmdusingknitr::rmarkdownon Oct 30 2024.

Last update: 2020-03-20
Started: 2017-09-28

Readme and manuals

Help Manual

Help pageTopics
Accessorsaccessors-methods getBestModel getBestModel,AnalysisResults-method getCVError getCVError,AnalysisResults-method getDataset getDataset,AnalysisResults-method getDeformedLibrary getDeformedLibrary,ASICSResults-method getMeanByGroup getMeanByGroup,AnalysisResults-method getNbProtons getNbProtons,PureLibrary-method getNormMethod getNormMethod,Spectra-method getNormParams getNormParams,Spectra-method getPpmGrid getPpmGrid,Spectra-method getQuantification getQuantification,ASICSResults-method getReconstructedSpectra getReconstructedSpectra,ASICSResults-method getResults getResults,AnalysisResults-method getSampleName getSampleName,Spectra-method getSpectra getSpectra,Spectra-method getTypeAnalysis getTypeAnalysis,AnalysisResults-method getTypeData getTypeData,AnalysisResults-method
AlignmentalignSpectra
Class AnalysisResultsAnalysisResults-class
Automatic Statistical Identification in Complex SpectraASICS
Class ASICSResultsASICSResults-class
View ASICS User's GuideASICSUsersGuide
Binning/Bucketing of NMR spectrabinning
Combine or subset functionsc,ASICSResults-method c,PureLibrary-method c,Spectra-method c.ASICSResults c.PureLibrary c.Spectra combineAndSubset-methods [,ASICSResults,ANY,ANY,ANY-method [,PureLibrary,ANY,ANY,ANY-method [,Spectra,ANY,ANY,ANY-method [.ASICSResults [.PureLibrary [.Spectra
Create a pure librarycreatePureLibrary
Create a Spectra objectcreateSpectra
Format data for analysisformatForAnalysis
Import metabolomic spectraimportSpectra
Import preprocessed metabolomic spectra from Bruker filesimportSpectraBruker
Kruskal-Wallis rank sum tests on a 'SummarizedExperiment' objectkruskalWallis
NormalisationnormaliseSpectra
Orthogonal projections to latent structures discriminant analysis (OPLS-DA) on a 'SummarizedExperiment' objectoplsda
Principal Component Analysis (PCA) on a 'SummarizedExperiment' objectpca
Tile plotplotAlignment
Pure spectra librarypure_library
Class 'PureLibrary'PureLibrary-class
Simulate a set of spectrasimulate_spectra
Class SpectraSpectra-class
Summary methodsdim,ASICSResults-method dim,Spectra-method dim.Spectra length,Spectra-method length.Spectra show,AnalysisResults-method show,ASICSResults-method show,Spectra-method show.AnalysisResults show.ASICSResults show.Spectra summary,AnalysisResults-method summary,Spectra-method summary-methods summary.AnalysisResults summary.Spectra
Visualisation methodsplot,AnalysisResults,ANY-method plot.AnalysisResults visualisation-methods-analyses
Visualisation methodsplot,ASICSResults,ANY-method plot,Spectra,ANY-method plot.ASICSResults plot.Spectra visualisation-methods-spectra