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 |
| Depends: |
R (≥ 3.4.0) |
| Imports: |
e1071, edgeR, spatstat, spatstat.core, spatstat.geom, spatstat.data, spatstat.sparse, spatstat.utils, spatstat.linnet, viridis, ggplot2, reshape, imager, methods, infotheo, parallel, irlba, testthat, doSNOW, foreach |
| Published: |
2021-10-18 |
| 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: |
NEWS |
| CRAN checks: |
SPUTNIK results |
Documentation:
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