Comparison of metaheuristic strategies for peakbin selection in proteomic mass spectrometry data

García Torres, Miguel and Armañanzas Arnedillo, Ruben and Bielza Lozoya, Maria Concepcion and Larrañaga Múgica, Pedro (2013). Comparison of metaheuristic strategies for peakbin selection in proteomic mass spectrometry data. "Information Sciences", v. 222 ; pp. 229-246. ISSN 0020-0255. https://doi.org/10.1016/j.ins.2010.12.013.

Description

Title: Comparison of metaheuristic strategies for peakbin selection in proteomic mass spectrometry data
Author/s:
  • García Torres, Miguel
  • Armañanzas Arnedillo, Ruben
  • Bielza Lozoya, Maria Concepcion
  • Larrañaga Múgica, Pedro
Item Type: Article
Título de Revista/Publicación: Information Sciences
Date: February 2013
ISSN: 0020-0255
Volume: 222
Subjects:
Freetext Keywords: Metaheuristics; Feature subset selection; Mass spectrometry
Faculty: Facultad de Informática (UPM)
Department: Otro
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Mass spectrometry (MS) data provide a promising strategy for biomarker discovery. For this purpose, the detection of relevant peakbins in MS data is currently under intense research. Data from mass spectrometry are challenging to analyze because of their high dimensionality and the generally low number of samples available. To tackle this problem, the scientific community is becoming increasingly interested in applying feature subset selection techniques based on specialized machine learning algorithms. In this paper, we present a performance comparison of some metaheuristics: best first (BF), genetic algorithm (GA), scatter search (SS) and variable neighborhood search (VNS). Up to now, all the algorithms, except for GA, have been first applied to detect relevant peakbins in MS data. All these metaheuristic searches are embedded in two different filter and wrapper schemes coupled with Naive Bayes and SVM classifiers.

More information

Item ID: 14036
DC Identifier: http://oa.upm.es/14036/
OAI Identifier: oai:oa.upm.es:14036
DOI: 10.1016/j.ins.2010.12.013
Deposited by: Memoria Investigacion
Deposited on: 20 Dec 2012 10:49
Last Modified: 21 Apr 2016 13:30
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