| Download | - View accepted manuscript: Biclustering of DNA Microarray Data: Theory, Evaluation, and Applications (PDF, 962 KiB)
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| Author | Search for: Tchagang, Alain B.1; Search for: Pan, Youlian1; Search for: Famili, Fazel1; Search for: Tewfik, Ahmed H.; Search for: Benos, Panayiotis V. |
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| Affiliation | - National Research Council of Canada. NRC Institute for Information Technology
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| Format | Text, Book Chapter |
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| Abstract | In this chapter, different methods and applications of biclustering algorithms to DNA microarray data analysis that have been developed in recent years are discussed and compared. Identification of biological significant clusters of genes from microarray experimental data is a very daunting task that emerged especially with the development of high throughput technologies. Various computational and evaluation methods based on diverse principles were introduced to identify new similarities among genes. Mathematical aspects of the models are highlighted, and applications to solve biological problems are discussed. |
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| Publication date | 2010-06-30 |
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| In | |
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| Language | English |
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| Peer reviewed | Yes |
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| NPARC number | 16350487 |
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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 | a668df47-a589-40a9-a578-1a92b4cacee2 |
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| Record created | 2010-11-24 |
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| Record modified | 2020-03-03 |
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