DESCRIPTION

Package: moleculaR
Type: Package
Title: Spatial Probabilistic Mapping of Metabolite Ensembles in Mass Spectrometry Imaging
Version: 0.9.3
Author: Denis Abu Sammour
Maintainer: 
    Denis Abu Sammour <d.abu-sammour@hs-mannheim.de>
    James L. Cairns <j.cairns@hs-mannheim.de> 
Description: a computational framework  that introduces probabilistic mapping and point-for-point statistical 
    testing of metabolites in tissue. It enables collective molecular projections and consequently spatially-
    resolved investigation of ion milieus, lipid pathways or user-defined biomolecular ensembles within the 
    same image.
License: MIT + file LICENSE
Depends: R (>= 3.5.0) 
Imports: 
      import,
      spatstat,
      Matrix, 
      MALDIquant, 
      MALDIquantForeign, 
      raster,
      viridis,
      parallel,
      vioplot,
      shiny,
      shinyWidgets,
      shinythemes
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.3
Suggests: 
    rmarkdown,
    knitr
VignetteBuilder: knitr
Collate: 
    'manualSpatstatImport.R'
    'S3classes.R'
    'batchAnalyteSearch.R'
    'batchLipidSearch.R'
    'classDefinitions.R'
    'createSparseMat.R'
    'createSpatialWindow.R'
    'downloadExData.R'
    'estimateFwhm.R'
    'evalspatialExpr.R'
    'filterDuplicates.R'
    'filterPeaks.R'
    'gaussWeight.R'
    'helping-functions.R'
    'icon.R'
    'legacy-initLipidSearch.R'
    'legacy-searchLipid.R'
    'loadSwissDB.R'
    'moleculaR.R'
    'normalizeIntensity.R'
    'plotting-functions.R'
    'probMap.R'
    'readCentrData.R'
    'readSingleSpect.R'
    'recreateExData.R'
    'runShiny.R'
    'searchAnalyte.R'
    'simulation-functions.R'
    'subsetAnalytes.R'
    'superImposeAnalytes.R'
    'superimposeNoise.R'
    'transformIntensity.R'
    'useDefaultFwhm.R'