Imperial College London
Alternate

Emeritus ProfessorJeremyNicholson

Faculty of Medicine, Department of Metabolism, Digestion and Reproduction

Emeritus Professor of Biological Chemistry
 
 
 
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Contact

 

+44 (0)20 7594 3195j.nicholson Website

 
 
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Assistant

 

Ms Wendy Torto +44 (0)20 7594 3225

 
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Location

 

Office no. 665Sir Alexander Fleming BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Inglese:2019:bioinformatics/bty622,
author = {Inglese, P and Correia, G and Takats, Z and Nicholson, JK and Glen, RC},
doi = {bioinformatics/bty622},
journal = {Bioinformatics},
pages = {178--180},
title = {SPUTNIK: an R package for filtering of spatially related peaks in mass spectrometry imaging data},
url = {http://dx.doi.org/10.1093/bioinformatics/bty622},
volume = {35},
year = {2019}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - 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.
AU  - Inglese,P
AU  - Correia,G
AU  - Takats,Z
AU  - Nicholson,JK
AU  - Glen,RC
DO  - bioinformatics/bty622
EP  - 180
PY  - 2019///
SN  - 1367-4803
SP  - 178
TI  - SPUTNIK: an R package for filtering of spatially related peaks in mass spectrometry imaging data
T2  - Bioinformatics
UR  - http://dx.doi.org/10.1093/bioinformatics/bty622
UR  - https://www.ncbi.nlm.nih.gov/pubmed/30010780
UR  - http://hdl.handle.net/10044/1/62343
VL  - 35
ER  -
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