Presentation | 2008-06-26 Differential gene discovery with considering characteristic patterns Shigeyuki OBA, Shin ISHII, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | For better detection of significant genes with differential expression (DE) between different clinical groups based on microarray measurement, we consider, in this study, a situation where expression patterns of significant genes may show correlation which does not directly correspond to the clinical labels. In order to extract the correlation, we defined factor statistics based on a singular value decomposition of a residual matrix, that is, a gene expression profile matrix subtracted by mean differential expressions. We presented a multi-dimensional test statistic consisting of the conventional and the novel statistics, and applied the framework of empirical Bayesian statistical test. This new test had a conservative estimation of false discovery rate (FDR) and exhibited higher power than conventional statistical tests. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | FDR / gene selection |
Paper # | NLP2008-3,NC2008-13 |
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Conference Information | |
Committee | NC |
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Conference Date | 2008/6/19(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Neurocomputing (NC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Differential gene discovery with considering characteristic patterns |
Sub Title (in English) | |
Keyword(1) | FDR |
Keyword(2) | gene selection |
1st Author's Name | Shigeyuki OBA |
1st Author's Affiliation | Graduate School of Informatics, Kyoto University() |
2nd Author's Name | Shin ISHII |
2nd Author's Affiliation | Graduate School of Informatics, Kyoto University |
Date | 2008-06-26 |
Paper # | NLP2008-3,NC2008-13 |
Volume (vol) | vol.108 |
Number (no) | 101 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |