Imperial College London
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Dr Gonçalo dos Santos Correia

Faculty of Medicine, Department of Metabolism, Digestion and Reproduction

Research Associate
 
 
 
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Contact

 

g.dos-santos-correia12

 
 
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Location

 

Sir Alexander Fleming BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@unpublished{Inglese:2018:10.1101/440057,
author = {Inglese, P and Dos, Santos Correia G and Pruski, P and Glen, R and Takats, Z},
doi = {10.1101/440057},
title = {Co-localization features for classification of tumors using mass spectrometry imaging},
url = {http://dx.doi.org/10.1101/440057},
year = {2018}
}
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RIS format (EndNote, RefMan)

TY  - UNPB
AB  - Statistical modeling of mass spectrometry imaging (MSI) data is a crucial component for the understanding of the molecular characteristics of cancerous tissues. Quantification of the abundances of metabolites or batch effect between multiple spectral acquisitions represents only a few of the challenges associated with this type of data analysis. Here we introduce a method based on ion co-localization features that allows the classification of whole tissue specimens using MSI data, which overcomes the possible batch effect issues and generates data-driven hypotheses on the underlying mechanisms associated with the different classes of analyzed samples.
AU  - Inglese,P
AU  - Dos,Santos Correia G
AU  - Pruski,P
AU  - Glen,R
AU  - Takats,Z
DO  - 10.1101/440057
PY  - 2018///
TI  - Co-localization features for classification of tumors using mass spectrometry imaging
UR  - http://dx.doi.org/10.1101/440057
UR  - http://www.imperial.ac.uk/people/p.inglese14
UR  - http://hdl.handle.net/10044/1/65504
ER  -
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