Hybrid data mining for discovery of knowledge about protein functions
| Project/Area Number |
21500139
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Intelligent informatics
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| Research Institution | Kobe University |
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Principal Investigator |
OHKAWA Takenao 神戸大学, 大学院・システム情報学研究科, 教授 (30223738)
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| Project Period (FY) |
2009 – 2011
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| Project Status |
Completed (Fiscal Year 2011)
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| Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2011: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2010: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
Fiscal Year 2009: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
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| Keywords | 知識発見 / データマイニング / バイオインフォマティクス / バイオデータ処理 / 情報抽出 |
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| Research Abstract |
Several methods for hybrid data mining from the various types of data such as the protein 3D structure data, the network data(e. g. protein-protein interaction data and metabolic pathways), and the text data describing the results of the protein structure analysis have been proposed. Applications to the knowledge discovery of protein functions, which include prediction of the protein functional sites, information extraction from the biomedical articles, retrieval of similar articles considering user's aspect, and classification of organisms from the viewpoint of the biological function, have been developed based on the proposed data mining methods.
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Report
(4 results)
Research Products
(30 results)
