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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Veröffentlicht in:	2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM) S. 144 - 149
Hauptverfasser:	Moschopoulos, Charalampos, Popovic, Dusan, Langone, Rocco, Suykens, Johan, De Moor, Bart, Moreau, Yves
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.12.2014
Schlagworte:	Biological cells biomarker discovery Cancer Classification algorithms Gene expression gene interaction network genetic algorithm Genetic algorithms microarray gene expression datasets
Online-Zugang:	Volltext
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