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: | 1.3 |
Depends: | R (≥ 3.4.0) |
Imports: | e1071, edgeR, spatstat, viridis, ggplot2, reshape, imager, methods, infotheo, parallel, irlba |
Published: | 2020-03-23 |
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 |
Materials: | NEWS |
CRAN checks: | SPUTNIK results |
Reference manual: | SPUTNIK.pdf |
Package source: | SPUTNIK_1.3.tar.gz |
Windows binaries: | r-devel: SPUTNIK_1.3.zip, r-release: SPUTNIK_1.3.zip, r-oldrel: SPUTNIK_1.3.zip |
macOS binaries: | r-release: SPUTNIK_1.3.tgz, r-oldrel: SPUTNIK_1.3.tgz |
Old sources: | SPUTNIK archive |
Please use the canonical form https://CRAN.R-project.org/package=SPUTNIK to link to this page.