Gene interaction networks boost genetic algorithm performance in biomarker discovery

In recent years, the advent of high-throughput techniques led to significant acceleration of biomarker discovery. In the same time, the popularity of machine learning methods grown in the field, mostly due to inherit analytical problems associated with the data resulting from these massively paralle...

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Bibliographic Details

Published in:	2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM) pp. 144 - 149
Main Authors:	Moschopoulos, Charalampos, Popovic, Dusan, Langone, Rocco, Suykens, Johan, De Moor, Bart, Moreau, Yves
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.12.2014
Subjects:	Biological cells biomarker discovery Cancer Classification algorithms Gene expression gene interaction network genetic algorithm Genetic algorithms microarray gene expression datasets
Online Access:	Get full text
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