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SPUTNIK: an R package for filtering of spatially related peaks in mass spectrometry imaging data

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Title: SPUTNIK: an R package for filtering of spatially related peaks in mass spectrometry imaging data
Authors: Inglese, P
Correia, G
Takats, Z
Nicholson, JK
Glen, RC
Item Type: Journal Article
Abstract: Summary: SPUTNIK is an R package consisting of a series of tools to filter mass spectrometry imaging peaks characterized by a noisy or unlikely spatial distribution. SPUTNIK can produce mass spectrometry imaging datasets characterized by a smaller but more informative set of peaks, reduce the complexity of subsequent multi-variate analysis and increase the interpretability of the statistical results. Availability: SPUTNIK is freely available online from CRAN repository and at https://github.com/paoloinglese/SPUTNIK. The package is distributed under the GNU General Public License version 3 and is accompanied by example files and data. Supplementary information: Supplementary data are available at Bioinformatics online.
Issue Date: 1-Jan-2019
Date of Acceptance: 10-Jul-2018
URI: http://hdl.handle.net/10044/1/62343
DOI: https://dx.doi.org/10.1093/bioinformatics/bty622
ISSN: 1367-4803
Publisher: Oxford University Press (OUP)
Start Page: 178
End Page: 180
Journal / Book Title: Bioinformatics
Volume: 35
Issue: 1
Copyright Statement: © The Author(s) 2018. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.or g/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Sponsor/Funder: Imperial College Healthcare NHS Trust- BRC Funding
Imperial College Healthcare NHS Trust- BRC Funding
Imperial College Healthcare NHS Trust- BRC Funding
Imperial College Healthcare NHS Trust- BRC Funding
Imperial College Healthcare NHS Trust- BRC Funding
Funder's Grant Number: RDB03 79560
RDB20
RDB20
RDF03
RDB01
Keywords: 01 Mathematical Sciences
06 Biological Sciences
08 Information And Computing Sciences
Bioinformatics
Publication Status: Published
Conference Place: England
Open Access location: https://academic.oup.com/bioinformatics/advance-article/doi/10.1093/bioinformatics/bty622/5053317
Article Number: bty622
Online Publication Date: 2018-07-13
Appears in Collections:Division of Surgery
Faculty of Medicine



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