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2009 Fiscal Year Final Research Report

Development of Causal Structure Mining Method for Large Scale Dimensional Data and Construction of Gene Function Knowledge Base

Research Project

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Project/Area Number 19200013
Research Category

Grant-in-Aid for Scientific Research (A)

Allocation TypeSingle-year Grants
Section一般
Research Field Intelligent informatics
Research InstitutionOsaka University

Principal Investigator

WASHIO Takashi  Osaka University, 産業科学研究所, 教授 (00192815)

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)
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)
Project Period (FY) 2007 – 2009
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.

  • Research Products

    (33 results)

All 2009 2008 2007

All Journal Article (16 results) (of which Peer Reviewed: 16 results) Presentation (17 results)

  • [Journal Article] Estimation of linear non-Gaussian acyclic models for latent factors2009

    • Author(s)
      S. Shimizu, P.O. Hoyer, A. Hyvarinen
    • Journal Title

      Neurocomputing Vol.72

      Pages: 2024-2027

    • Peer Reviewed
  • [Journal Article] ユークリッド距離の高速高精度推定と範囲問合せへの応用2009

    • Author(s)
      城戸健太郎, 桑島洋, 鷲尾隆
    • Journal Title

      情報処理学会論文誌 Vol.50,No.5

      Pages: 1493-1505

    • Peer Reviewed
  • [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
    • Journal Title

      Pacific Symposium on Biocomputing Vol.14

      Pages: 251-263

    • Peer Reviewed
  • [Journal Article] Simple computation of maximum likelihood estimates in latent class model with equality and constant constraints2009

    • Author(s)
      K. Takai, Y. Kano
    • Journal Title

      Communications in Statistics-Simulation and Computation Vol.38,No.3

      Pages: 654-665

    • Peer Reviewed
  • [Journal Article] Use of Non-Normality in Structural Equation Modeling: Application to Direction of Causation2008

    • Author(s)
      S. Shimizu, Y. Kano
    • Journal Title

      J. of Statistical Planning and Inference Vol.138

      Pages: 3483-3491

    • Peer Reviewed
  • [Journal Article] Modeling Dynamic Substate Chains among Massive States2008

    • Author(s)
      V.P. Nguyen, T. Washio
    • Journal Title

      Intelligent Data Analysis Vol.12,No.3

      Pages: 271-291

    • Peer Reviewed
  • [Journal Article] DryadeParent, An Efficient and Robust Closed Attribute Tree Mining Algorithm2008

    • Author(s)
      A. Termier, M.-C. Rousset, M. Sebag, K. Ohara, T. Washio, Hiroshi Motoda
    • Journal Title

      IEEE Trans. on Knowledge and Data Eng. Vol.20,No.2

      Pages: 300-320

    • Peer Reviewed
  • [Journal Article] Bayesian learning of biological pathways on genomic data assimilation2008

    • Author(s)
      R. Yoshida, M. Nagasaki, R. Yamaguchi, S. Imoto, S. Miyano, T. Higuchi
    • Journal Title

      Bioinformatics Vol.24,No.22

      Pages: 592-2601

    • Peer Reviewed
  • [Journal Article] Statistical inference of transcriptional module-based gene networks from time course gene expression profiles by using state space models2008

    • Author(s)
      O. Hirose, R. Yoshida, S. Imoto, R. Yamaguchi, T. Higuchi, D.S. Charnock-Jones, C. Print, S. Miyano
    • Journal Title

      Bioinformatics Vol.24,No.7

      Pages: 932-942

    • Peer Reviewed
  • [Journal Article] Estimation of nonlinear gene regulatory networks via L1 regularized NVAR from time series gene expression data2008

    • Author(s)
      K. Kojima, A. Fujita, T. Shimamura, S. Imoto, S. Miyano
    • Journal Title

      Genome Informatics Vol.20

      Pages: 37-51

    • Peer Reviewed
  • [Journal Article] Finding optimal Bayesian network given a super-structure2008

    • Author(s)
      E. Perrier, S. Imoto, S. Miyano
    • Journal Title

      Journal of Machine Learning Research Vol.9

      Pages: 2251-228

    • Peer Reviewed
  • [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
    • Journal Title

      Genome Informatics Vol.21

      Pages: 101-113

    • Peer Reviewed
  • [Journal Article] Test of independence in a 2 × 2 contingency table with nonignorable nonresponse via constrained EM algorithm2008

    • Author(s)
      K. Takai, Y. Kano
    • Journal Title

      Computational Statistics and Data Analysis Vol.52,No.11

      Pages: 5229-5241

    • Peer Reviewed
  • [Journal Article] A Classification Method Based on Subspace Clustering and Association Rules2007

    • Author(s)
      T. Washio, K. Nakanishi, H. Motoda
    • Journal Title

      New Generation Computing Vol.25

      Pages: 235-245

    • Peer Reviewed
  • [Journal Article] グラフマイニングとその統計的モデリングへの応用2007

    • Author(s)
      鷲尾隆, 樋口知之, 井元清哉, 玉田嘉紀, 佐藤健, 元田浩
    • Journal Title

      予測と発見 Vol.54,No.2

      Pages: 315-331

    • Peer Reviewed
  • [Journal Article] Finding module-based gene networks with state-space models-Mining high-dimensional and short time-course gene expression data, Special Issue on Signal Processing Methods in Genomics and Proteomics2007

    • Author(s)
      R. Yamaguchi, R. Yoshida, S. Imoto, T. Higuchi, S. Miyano
    • Journal Title

      IEEE Signal Processing Magazine Vol.24,No.1

      Pages: 37-46

    • Peer Reviewed
  • [Presentation] Submodularity cuts and applicastions2009

    • Author(s)
      Y. Kawahara, K. Nagano, K. Tsuda, J. Bilmes
    • Organizer
      Proc. of NIPS2009: Advances in Neural Information Processing
    • Place of Presentation
      Vancouver (Canada)
    • Year and Date
      2009-12-08
  • [Presentation] Consistency of penalized risk of boosting methods in binary classification2009

    • Author(s)
      K. Hayashi, S. Shimizu, Y. Kano
    • Organizer
      In New Trends in Psychometrics, Post Proceedings of IMPS2007: the 15th International and 72nd Annual Meeting of the Psychometric Society
    • Place of Presentation
      Tower Hall Funabori(Tokyo)
    • Year and Date
      2009-07-11
  • [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
  • [Presentation] A direct method for estimating a causal ordering in a linear non-Gaussian acyclic model2009

    • Author(s)
      S. Shimizu, A. Hyvinen, Y. Kawahara, T. Washio
    • Organizer
      Proc. of UAI2009: 25th Conf. on Uncertainty in Artificial Intelligence, Causality II & Graphical Models
    • Place of Presentation
      Montreal(Canada)
    • Year and Date
      2009-06-21
  • [Presentation] A Fast Method to Mine Frequent Subsequences from Graph Sequence2008

    • Author(s)
      A. Inokuchi, T. Washio
    • Organizer
      Proc. of ICDM2008: 8th IEEE Int. Conf. on Data Mining
    • Place of Presentation
      Pisa, Italy
    • Year and Date
      2008-12-17
  • [Presentation] Regression with interval output values2008

    • Author(s)
      H. Kashima, K. Yamasaki, A. Inokuchi, H. Saigo
    • Organizer
      Proc. of ICPR2008: 19th International Conference on Pattern Recognition 2008
    • Place of Presentation
      Tampa, Florida (USA)
    • Year and Date
      2008-12-11
  • [Presentation] Scaling with SEM: The Role of Effect and Causal Indicators (Invited)2008

    • Author(s)
      Y. Kano
    • Organizer
      IASC2008: the Joint Meeting of 4th World Conference of the IASC and 6th Conference of the Asian Regional Section of the IASC on Computational Statistics & Data Analysis
    • Place of Presentation
      Yokohama(Kanagawa)
    • Year and Date
      2008-12-07
  • [Presentation] Isomorphism Identification by Using Graph Spectra and Its Application to Graph Mining2008

    • Author(s)
      K. Ohara, T. Washio
    • Organizer
      Proc. of IASC2008: the Joint Meeting of 4th World Conf. of the IASC and 6th Conference of the Asian Regional Section of the IASC on Computational Statistics & Data Analysis
    • Place of Presentation
      Yokohama(Kanagawa)
    • Year and Date
      2008-12-06
  • [Presentation] AIC for Missing Data2008

    • Author(s)
      K. Takai, Y. Kano
    • Organizer
      IASC2008: the Joint Meeting of 4th World Conference of the IASC and 6th Conference of the Asian Regional Section of the IASC on Computational Statistics & Data Analysis
    • Place of Presentation
      Yokohama(Kanagawa)
    • Year and Date
      2008-12-05
  • [Presentation] Partial order-based Bayesian network learning algorithm for estimating gene networks2008

    • Author(s)
      K. Numata, S. Imoto, S. Miyano
    • Organizer
      Proc. of IEEE Bioinformatics and Biomedicine 2008
    • Place of Presentation
      Philadelphia, Pennsylvania (USA)
    • Year and Date
      2008-12-05
  • [Presentation] Feasibility of Graph Sequence Mining based on Admissibility Constraints2008

    • Author(s)
      A. Inokuchi, T. Washio
    • Organizer
      Proc. of 3rd International Workshop on Data-Mining and Statistical Science
    • Place of Presentation
      Tokyo Institute of Technology
    • Year and Date
      2008-09-25
  • [Presentation] Penalized boosting algorithm for mislabeled data (Invited)2008

    • Author(s)
      K. Hayashi, S. Shimizu, Y. Kano
    • Organizer
      IMPS2008: the 73rd Annual Meeting of the Psychometric Society
    • Place of Presentation
      Greensboro(USA)
    • Year and Date
      2008-06-30
  • [Presentation] Test of independence in a 2x2 contingency table with nonignorable nonresponse2008

    • Author(s)
      K. Takai, Y. Kano
    • Organizer
      IMPS2008: the 73rd Annual Meeting of the Psychometric Society
    • Place of Presentation
      New Hampshire(USA
    • Year and Date
      2008-06-29
  • [Presentation] Interval estimations based on normalizing transformations by two approaches2008

    • Author(s)
      Y. Konya, S. Shimizu, Y. Kano
    • Organizer
      IMPS2008: the 73rd Annual Meeting of the Psychometric Society
    • Place of Presentation
      New Hampshire(USA)
    • Year and Date
      2008-06-29
  • [Presentation] Separability of noisy ICA for high dimensional data2008

    • Author(s)
      Y. Kano
    • Organizer
      HDM2008: International Conference on Multivariate Statistical Modelling & High Dimensional Data Mining
    • Place of Presentation
      Kayseri(Turkey)
    • Year and Date
      2008-06-19
  • [Presentation] A Range Query Approach for High Dimensional Euclidean Space Based on EDM Estimation2008

    • Author(s)
      K. Kido, H. Kuwajima, T. Washio
    • Organizer
      Proc. of SDM2008: 8th SIAM Int. Conf. on Data Mining
    • Place of Presentation
      Atlanta(USA)
    • Year and Date
      2008-04-24
  • [Presentation] DIGDAG, a first algorithm to mine closed frequent embedded sub-DAGs2007

    • Author(s)
      A. Termier, Y. Tamada, K. Numata, S. Imoto, T. Washio, Tomoyuki Higuchi
    • Organizer
      Proc. of MLG Workshop 2007, Mining and Learning with Graphs
    • Place of Presentation
      Firenze(Italy)
    • Year and Date
      2007-08-02

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Published: 2011-06-18   Modified: 2016-04-21  

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