Author | Search for: Famili, Fazel1; Search for: Phan, Sieu1; Search for: Liu, Ziying1; Search for: Pan, Youlian1; Search for: Djebbari, Amira1; Search for: Lenferink, Anne2; Search for: O'Connor, Maureen2 |
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Name affiliation | - National Research Council of Canada. NRC Institute for Information Technology
- National Research Council of Canada. NRC Biotechnology Research Institute
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Format | Text, Article |
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Conference | The 18th European Conference on Machine Learning, September 17-21, 2007, Warsaw, Poland |
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Subject | gene expression data analysis; multi-strategy learning; data mining and knowledge discovery |
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Abstract | This paper discusses the issue of dealing with large volume of high throughput genomics data and applying unsupervised multi-strategy methods to identify differentially expressed genes. We introduce a novel method that consists of 8 steps. The approach is applied to a set of genomics data obtained from a cancer research study. We demonstrate the effectiveness of our method which includes some validation using biological experiments and literature search. |
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Publication date | 2007 |
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In | |
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Language | English |
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NRC number | NRCC 49839 |
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NPARC number | 5765693 |
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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 | 201ab8c6-53af-49cc-9143-9fc3df1b076d |
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Record created | 2009-03-29 |
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Record modified | 2020-08-12 |
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