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Development of network analysis methods for functions of RNAs

Research Project

Project/Area Number 24680032
Research Category

Grant-in-Aid for Young Scientists (A)

Allocation TypePartial Multi-year Fund
Research Field Bioinformatics/Life informatics
Research InstitutionNational Institute of Advanced Industrial Science and Technology (2014-2015)
Tokyo Institute of Technology (2012-2013)

Principal Investigator

Sese Jun  国立研究開発法人産業技術総合研究所, 創薬基盤研究部門, 主任研究員 (40361539)

Project Period (FY) 2012-04-01 – 2015-03-31
Project Status Completed (Fiscal Year 2015)
Budget Amount *help
¥20,410,000 (Direct Cost: ¥15,700,000、Indirect Cost: ¥4,710,000)
Fiscal Year 2014: ¥6,500,000 (Direct Cost: ¥5,000,000、Indirect Cost: ¥1,500,000)
Fiscal Year 2013: ¥6,370,000 (Direct Cost: ¥4,900,000、Indirect Cost: ¥1,470,000)
Fiscal Year 2012: ¥7,540,000 (Direct Cost: ¥5,800,000、Indirect Cost: ¥1,740,000)
Keywordsネットワーク / 転写制御 / 統計的有意性 / マイクロRNA / タンパク質相互作用 / パスウエイ / バイオインフォマティクス / miRNA / 多重検定 / データマイニング
Outline of Final Research Achievements

This study contains two major results. One is development of an analysis algorithm for a large biological network such as protein-protein interactions. Given the network and connection between microRNAs and their target genes, the algorithm can efficiently find the subnetworks affected by multiple microRNAs. Because effects of most microRNAs are modest, such overlaps would strongly inhibit the expressions of target genes in an environment. The other is a method to construct networks statistically. Given candidate regulators of genes, such as transcription factors/micro RNAs, and a expression profile, the algorithm can detect combinations of regulators that activate or inhibit expressions with statistical significance.

Report

(4 results)
  • 2015 Final Research Report ( PDF )
  • 2014 Annual Research Report
  • 2013 Annual Research Report
  • 2012 Annual Research Report
  • Research Products

    (7 results)

All 2014 2013

All Journal Article (5 results) (of which Peer Reviewed: 5 results,  Open Access: 1 results) Presentation (2 results)

  • [Journal Article] Parallelization of Extracting Connected Subgraphs with Common Itemsets2014

    • Author(s)
      Shingo Okuno, Tasuku Hiraishi, Hiroshi Nakashima, Masahiro Yasugi, Jun Sese.
    • Journal Title

      Information and Media Technologies

      Volume: 9 Issue: 3 Pages: 233-250

    • DOI

      10.11185/imt.9.233

    • NAID

      130004687718

    • ISSN
      1881-0896
    • Related Report
      2014 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Least-squares independence regression for non-linear causal inference under non-gaussian noise2014

    • Author(s)
      Makoto Yamada, Masashi Sugiyama, and Jun Sese
    • Journal Title

      Machine Learning

      Volume: -

    • Related Report
      2013 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Fast Westfall-Young permutation procedure for combinatorial regulation discovery2013

    • Author(s)
      Aika Terada, Koji Tsuda, and Jun Sese
    • Journal Title

      IEEE Bioinformatics and Biomedicine

      Volume: - Pages: 153-158

    • Related Report
      2013 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Bonferroni correction hides significant motif combinations.2013

    • Author(s)
      Aika Terada and Jun Sese
    • Journal Title

      13th IEEE Bioinformatics and Bioengineering

      Volume: -

    • Related Report
      2013 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Statistical significance of combinatorial regulations2013

    • Author(s)
      Aika Terada, Mariko Okada-Hatakeyama, Koji Tsuda, and Jun Sese
    • Journal Title

      Proc. Natl. Acad. Sci.

      Volume: No. 110, Issue 32 Pages: 12996-13001

    • Related Report
      2013 Annual Research Report
    • Peer Reviewed
  • [Presentation] Fast Statistical Assessment for Combinatorial Hypotheses Based on Frequent Itemset Mining2014

    • Author(s)
      S Minato, T Uno, K Tsuda, A Terada, J Sese
    • Organizer
      ECML/PKDD 2014
    • Place of Presentation
      Nancy, France
    • Year and Date
      2014-09-15 – 2014-09-19
    • Related Report
      2014 Annual Research Report
  • [Presentation] Statistically significant subgraphs for genome-wide association study2014

    • Author(s)
      Jun Sese
    • Organizer
      Statistically Sound Data-Mining (ECML/PKDD 2014 Workshop)
    • Place of Presentation
      Nancy, France
    • Year and Date
      2014-09-15
    • Related Report
      2014 Annual Research Report

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Published: 2012-04-24   Modified: 2019-07-29  

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