DESCRIPTION

Package: SPUTNIK
Type: Package
Title: Spatially Automatic Denoising for Imaging Mass Spectrometry Toolkit
Version: 1.4.2
Author: Paolo Inglese [aut, cre], Goncalo Correia [aut, ctb]
Maintainer: Paolo Inglese <p.inglese@outlook.com>
Authors@R: c(person("Paolo", "Inglese", email = "p.inglese@outlook.com", 
  role = c("aut", "cre")), person("Goncalo", "Correia", role = c("aut", "ctb")))
Description: Set of tools for peak filtering of mass spectrometry
  imaging data based on spatial distribution of signal. Given a 
  region-of-interest, representing the spatial region where the informative
  signal is expected to be localized, a series of filters determine which peak
  signals are characterized by an implausible spatial distribution. The filters
  reduce the dataset dimension and increase its information vs noise ratio,
  improving the quality of the unsupervised analysis results, reducing data
  dimension and simplifying the chemical interpretation.
  The methods are described in Inglese P. et al (2019) <doi:10.1093/bioinformatics/bty622>.
Depends: R (>= 3.4.0)
License: GPL (>= 3)
Encoding: UTF-8
LazyData: no
Imports:
    e1071,
    edgeR,
    spatstat.explore,
    spatstat.geom,
    viridis,
    ggplot2,
    reshape,
    imager,
    methods,
    infotheo,
    parallel,
    irlba,
    doSNOW,
    foreach
Suggests: testthat
RoxygenNote: 7.3.1
URL: https://github.com/paoloinglese/SPUTNIK
BugReports: https://github.com/paoloinglese/SPUTNIK/issues