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)
猪口 明博 大阪大学, 産業科学研究所, 助教 (70452456)
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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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Project Status |
Completed (Fiscal Year 2009)
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Budget Amount *help |
¥38,480,000 (Direct Cost: ¥29,600,000、Indirect Cost: ¥8,880,000)
Fiscal Year 2009: ¥10,400,000 (Direct Cost: ¥8,000,000、Indirect Cost: ¥2,400,000)
Fiscal Year 2008: ¥12,350,000 (Direct Cost: ¥9,500,000、Indirect Cost: ¥2,850,000)
Fiscal Year 2007: ¥15,730,000 (Direct Cost: ¥12,100,000、Indirect Cost: ¥3,630,000)
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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 / グラフマイニング / 遺子機能 / 統計的因果推論 / 独立成分分析 / 遺伝子発現度測定データ / 大規模変数次元データ / 因果ネットワーク / 少数事例データ / 高速相関係数推定 |
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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Report
(4 results)
Research Products
(100 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
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Peer Reviewed
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[Journal Article]2009
Author(s)
Takashi Washio
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Journal Title
Computing Paradigms and Computational Intelligence, Special Issue on Data-Mining and Statistical Science New Generation Computing(Ohmsha and Springer)
Pages: 285-363
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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
NAID
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Peer Reviewed
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[Presentation] Factor prediction in time series factor analysis2009
Author(s)
K. Takai, Y. Kano
Organizer
In New Trends in Psychometrics, Post Proceedings of IMPS2007: the 15th International and 72nd Annual Meeting of the Psychometric Society, Psychometric Society
Place of Presentation
Tower Hall Funabori(Tokyo)
Year and Date
2009-07-10
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[Presentation] PSD推定の適用範囲拡大と精度向上手法の検討2009
Author(s)
Nguyen Ha Hong, 鷲尾隆, 宇野毅明, Lim Ee-Peng, 桑島洋
Organizer
人工知能学会第23回全国大会(JSAI 2009)
Place of Presentation
サンポートホール高松(香川県)
Year and Date
2009-06-18
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[Book] New Frontiers in Applied Data Mining2009
Author(s)
Chawla, S., Washio, T., Minato, S., Tsumoto, S., Onoda, T., Yamada, S., Inokuchi, A.
Total Pages
213
Publisher
LNAI:Lecture Notes in Artificial Intellignece, Vol. 5433, Springer
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