paoloinglese/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>.
Getting started
Browse package contents
Package details |
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| Author | Paolo Inglese [aut, cre], Goncalo Correia [aut, ctb] |
| Maintainer | Paolo Inglese <p.inglese@outlook.com> |
| License | GPL (>= 3) |
| Version | 1.4.2 |
| URL | https://github.com/paoloinglese/SPUTNIK |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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