SPUTNIK: SPatially aUTomatic deNoising for Ims toolKit

A set of tools for the peak filtering of mass spectrometry imaging data (MSI or IMS) based on spatial distribution of signal. Given a region-of-interest (ROI), 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 dimensionality and increase its information vs noise ratio, improving the quality of the unsupervised analysis results, reducing data dimensionality and simplifying the chemical interpretation.

Version: 1.4.1
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: 2022-11-24
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
Materials: README NEWS
In views: ChemPhys
CRAN checks: SPUTNIK results


Reference manual: SPUTNIK.pdf


Package source: SPUTNIK_1.4.1.tar.gz
Windows binaries: r-devel: SPUTNIK_1.4.1.zip, r-release: SPUTNIK_1.4.1.zip, r-oldrel: SPUTNIK_1.4.1.zip
macOS binaries: r-release (arm64): SPUTNIK_1.4.1.tgz, r-oldrel (arm64): SPUTNIK_1.4.1.tgz, r-release (x86_64): SPUTNIK_1.4.1.tgz, r-oldrel (x86_64): SPUTNIK_1.4.1.tgz
Old sources: SPUTNIK archive


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