| Download | - View accepted manuscript: The impact of gene expression analysis on the classification and prediction of patients’ medical conditions (PDF, 846 KiB)
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| Author | Search for: Famili, Fazel1; Search for: Phan, Sieu1; Search for: Liu, Ziying1; Search for: Pan, Youlian1 |
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| Affiliation | - National Research Council of Canada. NRC Institute for Information Technology
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| Format | Text, Article |
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| Conference | The 10th Industrial Conference on Data Mining(ICDM 2010), Berlin, Germany, July 12-14, 2010 |
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| Subject | Gene expression analysis; atient classification; medical condition |
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| Abstract | Proper analysis and validation of gene expression data is not a trivial task. Most of the existing approaches identify individual or group of markers/signatures where the validation only goes as far as literature and biological experimental validation. In this paper we discuss a framework that could be considered to develop and validate patterns from gene expression data and work towards future clinical test kits. |
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| Publication date | 2010 |
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| In | |
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| Language | English |
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| Peer reviewed | No |
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| NPARC number | 16350489 |
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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 | 853a706e-1df7-409e-bc2f-85ca1b3f83ab |
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| Record created | 2010-11-10 |
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| Record modified | 2020-04-17 |
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