2009 Fiscal Year Final Research Report
Development of Causal Structure Mining Method for Large Scale Dimensional Data and Construction of Gene Function Knowledge Base
Project/Area Number |
19200013
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Research Category |
Grant-in-Aid for Scientific Research (A)
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Allocation Type | Single-year Grants |
Section | 一般 |
Research Field |
Intelligent informatics
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Research Institution | Osaka University |
Principal Investigator |
WASHIO Takashi Osaka University, 産業科学研究所, 教授 (00192815)
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Co-Investigator(Kenkyū-buntansha) |
KANO Yutaka 大阪大学, 基礎工学研究科, 教授 (20201436)
IMOTO Seiya 東京大学, 医科学研究所, 准教授 (10345027)
OHARA Kouzou 青山学院大学, 理工学部, 准教授 (30294127)
TERMIER Alexandlre Universite Joseph Fourier, Laboratoired' Informatique de Grenoble, 助教 (60435823)
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Co-Investigator(Renkei-kenkyūsha) |
INOKUCHI Akihiro 大阪大学, 産業科学研究所, 助教 (70452456)
SHIMIZU Shohei 大阪大学, 産業科学研究所, 助教 (10509871)
KAWAHARA Yoshinobu 大阪大学, 産業科学研究所, 助教 (00514796)
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Project Period (FY) |
2007 – 2009
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Keywords | 大規模次元 / 因果推論 / データマイニング / 遺伝子機能 / 知識ベース |
Research Abstract |
Scientists attempt to figure out function of each gene through the analysis of causal relations between gene expressions by using measurement data of the many gene expression variables (large scale dimensional data). However, the analysis of causal relations between dozens or hundreds of variables is hardly performed manually. In spite of this problem, the number of variables to which the computer based causal analysis is applicable is limited to 20-30 in the state of the art. Accordingly, this work developed a novel principle of the statistical causal analysis, and furthermore constructed a knowledge base of the functional relations among expressed genes for the scientists by using our developed approach.
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Research Products
(33 results)
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[Journal Article] Unraveling dynamic activities of autocrine pathways that control drug-response transcriptome networks2009
Author(s)
Y. Tamada, H. Araki, S. Imoto, M. Nagasaki, A. Doi, Y. Nakanishi, Y. Tomiyasu, K. Yasuda, B. Dunmore, D. Sanders, S. Humphries, C. Print, D.S. Charnock-Jones, K. Tashiro, S. Kuhara, S. Miyano
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Journal Title
Pacific Symposium on Biocomputing Vol.14
Pages: 251-263
Peer Reviewed
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[Journal Article] Predicting differences in gene regulatory systems by state space models2008
Author(s)
R. Yamaguchi, S. Imoto, M. Yamauchi, M. Nagasaki, R. Yoshida, T. Shimamura, Y. Hatanaka, K. Ueno, T. Higuchi, N. Gotoh, S. Miyano
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Journal Title
Genome Informatics Vol.21
Pages: 101-113
Peer Reviewed
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