| Project/Area Number |
22300099
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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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 |
MIYANO Satoru 東京大学, 医科学研究所, 教授 (50128104)
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| Co-Investigator(Kenkyū-buntansha) |
IMOTO Seiya 東京大学, 医科学研究所, 准教授 (10345027)
YAMAGUCHI Rui 東京大学, 医科学研究所, 講師 (90380675)
NAGASAKI Masao 東京大学, 医科学研究所, 准教授 (90396862)
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| Co-Investigator(Renkei-kenkyūsha) |
WATANABE Kenji 慶應義塾大学, 医学部, 准教授 (70191757)
GOTOH Noriko 東京大学, 医科学研究所, 特任准教授 (10251448)
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| Project Period (FY) |
2010 – 2012
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| Project Status |
Completed (Fiscal Year 2012)
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| Budget Amount *help |
¥8,710,000 (Direct Cost: ¥6,700,000、Indirect Cost: ¥2,010,000)
Fiscal Year 2012: ¥2,600,000 (Direct Cost: ¥2,000,000、Indirect Cost: ¥600,000)
Fiscal Year 2011: ¥2,600,000 (Direct Cost: ¥2,000,000、Indirect Cost: ¥600,000)
Fiscal Year 2010: ¥3,510,000 (Direct Cost: ¥2,700,000、Indirect Cost: ¥810,000)
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| Keywords | 遺伝子ネットワーク / 薬剤応答パスウェイ / 動的モデル / シミュレーション / パ スウェイ解析 / ベイジアンネットワーク / ペトリネット / 状態空間モデル / がん / パスウェイ解析 / ベトリネット / 薬剤応答パスウェィ / Bayesiamネットワーク |
|---|
| Research Abstract |
We developed computational/statistical methods for inferring abstract network models from time-course or case-control gene expression data of drug-responses. We also developed a series of knowledge processing technologies for efficiently constructing and systematically validating dynamic models from the literature information on biomolecular interactions. Bayesian network and state space model are employed for the former and an extended Petri net is used for the latter.
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