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: 1.0.3.4
Depends: R (≥ 3.4.0)
Imports: spatstat, autothresholdr, viridis, SDMTools, ggplot2, reshape, imager, methods, infotheo
Published: 2018-09-18
Author: Paolo Inglese [aut, cre], Goncalo Correia [aut, ctb]
Maintainer: Paolo Inglese <p.inglese14 at imperial.ac.uk>
BugReports: https://github.com/paoloinglese/SPUTNIK/issues
License: GPL (≥ 3)
URL: https://github.com/paoloinglese/SPUTNIK
NeedsCompilation: no
CRAN checks: SPUTNIK results

Downloads:

Reference manual: SPUTNIK.pdf
Package source: SPUTNIK_1.0.3.4.tar.gz
Windows binaries: r-devel: SPUTNIK_1.0.3.4.zip, r-release: SPUTNIK_1.0.3.4.zip, r-oldrel: SPUTNIK_1.0.3.4.zip
OS X binaries: r-release: SPUTNIK_1.0.3.3.tgz, r-oldrel: SPUTNIK_1.0.3.3.tgz
Old sources: SPUTNIK archive

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