Gene Discovery in Leukemia Revisited: A Computational Intelligence Perspective

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TypeArticle
ConferenceThe Seventeenth International Conference on Industrial & Engineering Applications of Artificial Intelligence & Expert Systems (IEA/AIE 2004), May 17-20, 2004., Ottawa, Ontario, Canada
Subjectcomputational intelligence; rough sets; clustering; virtual reality; feed-forward and probabilistic neural networks; data mining; leukemia
AbstractAn approach using clustering in combination with Rough Sets and neural networks was investigated for the purpose of gene discovery using leukemia data. A small number of genes with high discrimination power were found, some of which were not previously reported. It was found that subtle differences between very similar genes belonging to the same cluster, as well as the number of clusters constructed, affect the discovery of relevant genes. Good results were obtained with no preprocessing applied to the data.
Publication date
LanguageEnglish
AffiliationNRC Institute for Information Technology; National Research Council Canada
Peer reviewedNo
NRC number46547
NPARC number8913485
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Record identifier0b2cb583-4359-4c19-9ba6-56a8d1eebb1d
Record created2009-04-22
Record modified2016-05-09
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