SPUTNIK: Spatially Automatic Denoising for Imaging Mass Spectrometry Toolkit

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>.

Version: 1.4.2
Depends: R (≥ 3.4.0)
Imports: e1071, edgeR, spatstat.explore, spatstat.geom, viridis, ggplot2, reshape, imager, methods, infotheo, parallel, irlba, doSNOW, foreach
Suggests: testthat
Published: 2024-04-16
DOI: 10.32614/CRAN.package.SPUTNIK
Author: Paolo Inglese [aut, cre], Goncalo Correia [aut, ctb]
Maintainer: Paolo Inglese <p.inglese at outlook.com>
BugReports: https://github.com/paoloinglese/SPUTNIK/issues
License: GPL (≥ 3)
URL: https://github.com/paoloinglese/SPUTNIK
NeedsCompilation: no
Citation: SPUTNIK citation info
CRAN checks: SPUTNIK results


Reference manual: SPUTNIK.pdf


Package source: SPUTNIK_1.4.2.tar.gz
Windows binaries: r-devel: SPUTNIK_1.4.2.zip, r-release: SPUTNIK_1.4.2.zip, r-oldrel: SPUTNIK_1.4.2.zip
macOS binaries: r-release (arm64): SPUTNIK_1.4.2.tgz, r-oldrel (arm64): SPUTNIK_1.4.2.tgz, r-release (x86_64): SPUTNIK_1.4.2.tgz, r-oldrel (x86_64): SPUTNIK_1.4.2.tgz
Old sources: SPUTNIK archive


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