| Download | - View accepted manuscript: Gene Discovery in Leukemia Revisited: A Computational Intelligence Perspective (PDF, 262 KiB)
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| Author | Search for: Valdés, Julio; Search for: Barton, Alan |
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| Format | Text, Article |
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| Conference | The Seventeenth International Conference on Industrial & Engineering Applications of Artificial Intelligence & Expert Systems (IEA/AIE 2004), May 17-20, 2004, Ottawa, Ontario, Canada |
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| Subject | computational intelligence; rough sets; clustering; virtual reality; feed-forward and probabilistic neural networks; data mining; leukemia |
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| Abstract | An 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. |
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| Publication date | 2004 |
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| In | |
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| Language | English |
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| NRC number | NRCC 46547 |
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| NPARC number | 8913485 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | 0b2cb583-4359-4c19-9ba6-56a8d1eebb1d |
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| Record created | 2009-04-22 |
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| Record modified | 2021-01-05 |
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