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 |
| 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 |
Documentation:
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