| Author | Search for: Belacel, Nabil; Search for: Wang, Qian; Search for: Cuperlovic-Culf, Miroslava |
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| Format | Text, Article |
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| Conference | Omics: A journal of integrative biology, 2006 |
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| Abstract | Within the field of genomics, microarray technologies have become a powerful technique for simultaneously monitoring the expression patterns of thousands of genes under different sets of conditions. A main task now is to propose analytical methods to identify groups of genes that manifest similar expression patterns and are activated by similar conditions. The corresponding analysis problem is to cluster multi-condition gene expression data. The purpose of this paper is to present a general view of clustering techniques used in microarray gene expression data analysis. |
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| Publication date | 2006 |
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| In | |
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| Language | English |
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| NRC number | NRCC 48780 |
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| NPARC number | 5763612 |
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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 | 9f174dbd-91a6-4e80-831b-3fc3e12b4593 |
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| Record created | 2009-03-29 |
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| Record modified | 2020-04-22 |
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