Development of methods to extact kowledge from drug-stimulated gene expression time-coure compendium data
| Project/Area Number |
24700292
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Bioinformatics/Life informatics
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| Research Institution | The University of Tokyo |
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Principal Investigator |
YAMAGUCHI Rui 東京大学, 医科学研究所, 講師 (90380675)
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| Project Period (FY) |
2012-04-01 – 2014-03-31
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| Project Status |
Completed (Fiscal Year 2013)
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| Budget Amount *help |
¥4,030,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥930,000)
Fiscal Year 2013: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Fiscal Year 2012: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
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| Keywords | バイオインフォマティクス / 統計的時系列モデル / 薬剤応答 / 薬剤構造 / 時系列遺伝子発現データ |
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| Research Abstract |
In this study, we investigated a statistical methodology to extract useful knowledge from gene-expression time-course compendium data of rats under multiple-drug stimulation. We studied methods to integrate heterogeneous information from drug structures and reactions of biological systems to drug stimulation and invented a method to obtain summarized features of the reactions using time-series model. Finally, we developed a method to predict the summarized biological reactions from the drug structures based on a statistical time-series model.
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Report
(3 results)
Research Products
(6 results)
