| Download | - View accepted manuscript: The Variable Neighborhood Search Metaheuristic for Fuzzy Clustering cDNA Microarray Gene Expression Data (PDF, 207 KiB)
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| Author | Search for: Belacel, Nabil; Search for: Cuperlovic-Culf, Miroslava; Search for: Ouellette, R. |
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| Format | Text, Article |
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| Conference | IASTED-AIA-04 Conference, February 16-18, 2004, Innsbruck, Austria |
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| Subject | fuzzy clustering; gene expression; variable neighborhood search metaheuristic; bioinformatics |
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| Abstract | Several thousand genes can be monitored simultaneously using cDNA microarray technology. To exploit the huge amount of information contained in gene expression data, adaptation of existing and development of new computational methods are required. Recently, the Fuzzy C-Means (F-CM) method has been applied to cluster cDNA microarray data sets. To overcome some shortcomings of F-CM and to improve its performance, it was embedded into a variable neighborhood search (VNS) metaheuristic. The methodology was used to cluster four cDNA microarray data sets. Results show that VNS+F-CM substantially improves the findings obtained by F-CM. This methodology may yield significant benefit in the improvement of decision support systems used for gene expression classification. |
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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 46538 |
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| NPARC number | 8913750 |
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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 | 11ffb112-44c9-4254-b692-6f32ba216b1c |
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| Record created | 2009-04-22 |
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| Record modified | 2021-01-05 |
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