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Kimura Shuhei  木村 周平

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KIMURA Shuhei  木村 周平

木村 周平  キムラ シュウヘイ

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Researcher Number 20342777
Other IDs
Affiliation (Current) 2025: 鳥取大学, 工学部, 教授
Affiliation (based on the past Project Information) *help 2017 – 2023: 鳥取大学, 工学研究科, 教授
2013 – 2016: 鳥取大学, 工学(系)研究科(研究院), 教授
2011 – 2012: 鳥取大学, 工学(系)研究科(研究院), 准教授
2007: Tottori University, 工学部, 准教授
2006: 鳥取大学, 工学部, 助教授
Review Section/Research Field
Principal Investigator
Basic Section 61040:Soft computing-related / Soft computing / Sensitivity informatics/Soft computing / 基礎ゲノム科学
Except Principal Investigator
Medium-sized Section 50:Oncology and related fields
Keywords
Principal Investigator
遺伝子ネットワーク同定 / 遺伝子ネットワーク / 重み付け / 変数重要度 / ランダムフォレスト / 階層構造推定 / 疑似焼きなまし法 / 事前知識 / 階層構造 / GENIE3 … More / Genetic network / ブートストラップ法 / 階層性 / S-system / 制約付き関数最適化 / 進化的アルゴリズム / Vohradskyモデル / S-systemモデル / 遺伝的アルゴリズム / 正規化ガウス関数ネットワーク / DNAマイクロアレイ … More
Except Principal Investigator
パラメータ推定 / 大規模数理モデル / ネットワーク / 細胞周期 / ゲノムデータ / 予測 / シミュレーション / TNBC / 乳がん / がん / シグナル伝達 / 数理モデル Less
  • Research Projects

    (5 results)
  • Research Products

    (34 results)
  • Co-Researchers

    (1 People)
  •  ランダムフォレストにおける変数重要度の質改善方法の開発とその応用Principal Investigator

    • Principal Investigator
      木村 周平
    • Project Period (FY)
      2022 – 2025
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 61040:Soft computing-related
    • Research Institution
      Tottori University
  •  Development of a mathematical modeling platform of gene networks for understanding disease mechanisms

    • Principal Investigator
      Okada Mariko
    • Project Period (FY)
      2018 – 2022
    • Research Category
      Grant-in-Aid for Scientific Research (A)
    • Review Section
      Medium-sized Section 50:Oncology and related fields
    • Research Institution
      Osaka University
  •  A study of the Improvement of Reliabilities of Regulations using a Hierarchical Structure in a Genetic NetworkPrincipal Investigator

    • Principal Investigator
      KIMURA Shuhei
    • Project Period (FY)
      2014 – 2018
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Research Field
      Soft computing
    • Research Institution
      Tottori University
  •  Development of an evolutionary algorithm for function optimization problems with an equality constraint and its application to the inference of genetic networksPrincipal Investigator

    • Principal Investigator
      KIMURA Shuhei
    • Project Period (FY)
      2011 – 2013
    • Research Category
      Grant-in-Aid for Young Scientists (B)
    • Research Field
      Sensitivity informatics/Soft computing
    • Research Institution
      Tottori University
  •  正規化ガウス関数ネットワークモデルを用いた遺伝子ネットワーク同定Principal Investigator

    • Principal Investigator
      木村 周平
    • Project Period (FY)
      2006 – 2007
    • Research Category
      Grant-in-Aid for Young Scientists (B)
    • Research Field
      基礎ゲノム科学
    • Research Institution
      Tottori University

All 2023 2022 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2008 2007 2006 Other

All Journal Article Presentation Book

  • [Book] Evolutionary Computation in Regulatory Network Research2016

    • Author(s)
      S.Kimura
    • Total Pages
      424
    • Publisher
      Wiley
    • Data Source
      KAKENHI-PROJECT-26330275
  • [Journal Article] Inference of Genetic Networks from Steady-state and Pseudo Time-series of Single-cell Gene Expression Data using Modified Random Forests2023

    • Author(s)
      S.Kimura, H.Kitajima, M.Tokuhisa, M.Okada
    • Journal Title

      Proc. of the 2023 IEEE Symposium Series on Computational Intelligence

      Volume: 1 Pages: 1579-1586

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-22K12193
  • [Journal Article] Inference of Genetic Networks using Random Forests: A Quantitative Weighting Method for Gene Expression Data2022

    • Author(s)
      S.Kimura, K.Sota and M.Tokuhisa
    • Journal Title

      Proc. of the 2022 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology

      Volume: 1 Pages: 123-130

    • DOI

      10.1109/cibcb55180.2022.9863035

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-22K12193
  • [Journal Article] Inference of Genetic Networks From Time-Series and Static Gene Expression Data: Combining a Random-Forest-Based Inference Method With Feature Selection Methods2020

    • Author(s)
      Kimura Shuhei、Fukutomi Ryo、Tokuhisa Masato、Okada Mariko
    • Journal Title

      Frontiers in Genetics

      Volume: 11

    • DOI

      10.3389/fgene.2020.595912

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-18H04031
  • [Journal Article] Inference of Genetic Networks using Random Forests: Assigning Different Weights for Gene Expression Data2019

    • Author(s)
      Kimura Shuhei、Tokuhisa Masato、Okada Mariko
    • Journal Title

      Journal of Bioinformatics and Computational Biology

      Volume: 印刷中 Issue: 04 Pages: 1950015-1950015

    • DOI

      10.1142/s021972001950015x

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-26330275
  • [Journal Article] [Regular Paper] Inference of Genetic Networks Using Random Forests: Use of Different Weights for Time-Series and Static Gene Expression Data2018

    • Author(s)
      Kimura Shuhei、Tokuhisa Masato、Okada-Hatakeyama Mariko
    • Journal Title

      Proc. of the 18th IEEE International Conference on Bioinformatics and Bioengineering

      Volume: - Pages: 98-103

    • DOI

      10.1109/bibe.2018.00026

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PLANNED-17H06302, KAKENHI-PROJECT-18H04031, KAKENHI-PROJECT-26330275
  • [Journal Article] Inference of Genetic Networks from Time-series of Gene Expression Levels Using Random Forests2017

    • Author(s)
      S.Kimura, M.Tokuhisa and M. Okada-Hatakeyama
    • Journal Title

      Proc. of the 2017 Conference on Computational Intelligence in Bioinformatics and Computational Biology

      Volume: 1 Pages: 22-27

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-26330275
  • [Journal Article] Genetic Network Inference using Hierarchical Structure2016

    • Author(s)
      S.Kimura, M.Tokuhisa, M.Okada-Hatakeyama
    • Journal Title

      Frontiers in Physiology

      Volume: 7 Pages: 57-57

    • DOI

      10.3389/fphys.2016.00057

    • Peer Reviewed / Acknowledgement Compliant / Open Access
    • Data Source
      KAKENHI-PROJECT-26330275
  • [Journal Article] Simultaneous Execution Method of Gene Clustering and Network Inference2016

    • Author(s)
      S.Kimura, M.Tokuhisa and M. Okada-Hatakeyama
    • Journal Title

      Proc. of the 2016 Conference on Computational Intelligence in Bioinformatics and Computational Biology

      Volume: - Pages: 1-7

    • DOI

      10.1109/cibcb.2016.7758123

    • Peer Reviewed / Acknowledgement Compliant
    • Data Source
      KAKENHI-PROJECT-26330275
  • [Journal Article] 遺伝子ネットワークのreduced S-systemモデルの効率的同定法の提案2015

    • Author(s)
      木村周平, 佐藤昌直, 岡田眞里子
    • Journal Title

      情報処理学会研究報告

      Volume: 2015-BIO-41 Pages: 1-6

    • NAID

      110009884013

    • Acknowledgement Compliant
    • Data Source
      KAKENHI-PROJECT-26330275
  • [Journal Article] Improvement of Reliabilities of Regulations using a Hierarchical Structure in a Genetic Network2015

    • Author(s)
      S.Kimura, M.Okada-Hatakeyama
    • Journal Title

      Proc. of the 2015 International Joint Conference on Neural Networks

      Volume: 1 Pages: 485-491

    • Peer Reviewed / Acknowledgement Compliant
    • Data Source
      KAKENHI-PROJECT-26330275
  • [Journal Article] A Fast Parameter Estimation Method for Inferring Reduced S-system Models of Genetic Networks2014

    • Author(s)
      Shuhei Kimura, Munehiro Furuta, Masanao Sato and Mariko Okada-Hatakeyama
    • Journal Title

      Proc. of 2014 International Conference on Information Systems and Computing Technology

      Volume: なし Pages: 45-50

    • Peer Reviewed / Acknowledgement Compliant
    • Data Source
      KAKENHI-PROJECT-26330275
  • [Journal Article] An Effective Method for the Inference of Reduced S-system Models of Genetic Networks2014

    • Author(s)
      Shuhei Kimura, Masanao Sato and Mariko Okada-Hatakeyama
    • Journal Title

      IPSJ Transactions on Bioinformatics

      Volume: 7 Issue: 0 Pages: 30-38

    • DOI

      10.2197/ipsjtbio.7.30

    • NAID

      130004952388

    • ISSN
      1882-6679
    • Language
      English
    • Peer Reviewed / Acknowledgement Compliant / Open Access
    • Data Source
      KAKENHI-PROJECT-26330275
  • [Journal Article] Inference of Vohradsky's Models of Genetic Networks by solving Two-dimensional Function Optimization Problems2013

    • Author(s)
      S.Kimura, M.Sato and M.Okada-Hatakeyama
    • Journal Title

      PLoS One

      Volume: 8

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23700266
  • [Journal Article] Inference of Vohradsky's Models of Genetic Networks by Solving Two-dimensional Function Optimization Problem2013

    • Author(s)
      Shuhei Kimura, Masanao Sato and Mariko Okada-Hatakeyama
    • Journal Title

      PLoS One

      Volume: 8 Issue: 12 Pages: e83308-e83308

    • DOI

      10.1371/journal.pone.0083308

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23700266
  • [Journal Article] Development of an Efficient Parameter Estimation Method for the Inference of Vohradsky's Neural Network Models of Genetic Networks2013

    • Author(s)
      S.Kimura, M.Sato and M.Okada-Hatakeyama
    • Journal Title

      Proc. of the 2013 International Joint Conference on Neural Networks

      Pages: 2676-2681

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23700266
  • [Journal Article] Development of an Efficient Parameter Estimation Method for the Inference of Vohradsky's Neural Network Models of Genetic Networks2013

    • Author(s)
      Shuhei Kimura, Masanao Sato and Mariko Okada-Hatakeyama
    • Journal Title

      Proceedings of 2013 International Conference on Neural Networks

      Volume: なし Pages: 2676-2681

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23700266
  • [Journal Article] Inference of S-system Models of Genetic Networks by Solving One-dimensional Function Optimization Problems2012

    • Author(s)
      S.Kimura, D.Araki, K.Matsumura and M.Okada-Hatakeyama
    • Journal Title

      Mathematical Biosciences

      Volume: Vol.235 Pages: 161-170

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23700266
  • [Journal Article] Inference of S-system Models of Genetic Networks by Solving Linear Programming Problems and Sets of Linear Algebraic Equations2012

    • Author(s)
      S.Kimura, K.Matsumura and M.Okada-Hatakeyama
    • Journal Title

      Proc. of the 2012 International Joint Conference on Neural Networks

      Pages: 2000-2007

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23700266
  • [Journal Article] Inference of S-system Models of Genetic Networks by Solving Linear Programming Problems and Sets of Linear Algebraic Equations2012

    • Author(s)
      S.Kimura, K.Matsumura, M.Okada-Hatakeyama
    • Journal Title

      Proceedings of the 2012 International Joint Conference on Neural Networks

      Volume: なし Pages: 2000-2007

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23700266
  • [Journal Article] nference of S-system models of genetic networks by solving one-dimensional function optimization problems.2012

    • Author(s)
      Kimura S., Araki D., Matsumura K., and Okada-Hatakeyama M.
    • Journal Title

      Math. Biosci

      Volume: 235 Issue: 2 Pages: 161-170

    • DOI

      10.1016/j.mbs.2011.11.008

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23650154, KAKENHI-PROJECT-23700266
  • [Journal Article] Constrained Multimodal Function Optimization using a Simple Evolutionary Algorithm2011

    • Author(s)
      S.Kimura, K.Matsumura
    • Journal Title

      Proceedings of the 2011 Congress on Evolutionary Computation

      Volume: なし Pages: 447-454

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23700266
  • [Journal Article] Constrained Multimodal Function Optimization using a Simple Evolutionary Algorithm2011

    • Author(s)
      S.Kimura and K.Matsumura
    • Journal Title

      Proc. of the 2011 Congress on Evolutionary Computation

      Pages: 447-454

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23700266
  • [Journal Article] Function approximation approach to the inference of reduced NGnet models of genetic networks2008

    • Author(s)
      Shuhei Kimura
    • Journal Title

      BMC Bioinformatics 9

      Pages: 13-13

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18710166
  • [Journal Article] Inference of Genetic Networks using a Reduced NGnet Model2007

    • Author(s)
      Shuhei Kimura
    • Journal Title

      Proc. of the 2007 International Joint Conference on Neural Networks

      Pages: 6-6

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18710166
  • [Journal Article] Function Approximation Approach to the Inference of Normalized Gaussian Network Models of Genetic Networks2006

    • Author(s)
      S.Kimura, K.Sonoda, S.Yamane, K.Matsumura, M.Hatakeyama
    • Journal Title

      Proceedings of the 2006 International Joint Conference on Neural Networks

      Pages: 4525-4532

    • Data Source
      KAKENHI-PROJECT-18710166
  • [Presentation] Inference of Genetic Networks Using Random Forests: Use of Different Weights for Time-series and Static Gene Expression Data2018

    • Author(s)
      S.Kimura, M.Tokuhisa and M. Okada-Hatakeyama
    • Organizer
      The 18th IEEE International Conference on Bioinformatics and Bioengineering
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-26330275
  • [Presentation] Simultaneous Execution Method of Gene Clustering and Network Inference2016

    • Author(s)
      S.Kimura, M.Tokuhisa and M. Okada-Hatakeyama
    • Organizer
      the 2016 Conference on Computational Intelligence in Bioinformatics and Computational Biology
    • Place of Presentation
      チェンマイ,タイ
    • Year and Date
      2016-10-05
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-26330275
  • [Presentation] Improvement of Reliabilities of Regulations using a Hierarchical Structure in a Genetic Network2015

    • Author(s)
      S.Kimura, M.Okada-Hatakeyama
    • Organizer
      the 2015 International Joint Conference on Neural Networks
    • Place of Presentation
      キラーニー,アイルランド
    • Year and Date
      2015-07-12
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-26330275
  • [Presentation] 階層構造を利用した遺伝子ネットワーク同定2015

    • Author(s)
      木村周平
    • Organizer
      第1回 理化学研究所・産業技術総合研究所 共同シンポジウム
    • Place of Presentation
      台場,東京
    • Year and Date
      2015-06-29
    • Data Source
      KAKENHI-PROJECT-26330275
  • [Presentation] 遺伝子ネットワークのreduced S-systemモデルの効率的同定法の提案2015

    • Author(s)
      木村周平, 佐藤昌直, 岡田眞里子
    • Organizer
      情報処理学会 第41回BIO研究発表会
    • Place of Presentation
      北海道大学
    • Year and Date
      2015-03-20
    • Data Source
      KAKENHI-PROJECT-26330275
  • [Presentation] 遺伝子ネットワークのS-system モデル高速同定法2011

    • Author(s)
      木村周平
    • Organizer
      平成23年電気学会電子・情報・システム部門大会
    • Place of Presentation
      富山大学(富山県)
    • Data Source
      KAKENHI-PROJECT-23700266
  • [Presentation] 遺伝子ネットワークのS-systemモデル高速同定法2011

    • Author(s)
      木村 周平
    • Organizer
      平成23年電気学会電子・情報・システム部門大会
    • Place of Presentation
      富山大学(富山県)
    • Data Source
      KAKENHI-PROJECT-23700266
  • [Presentation] A Fast Parameter Estimation Method for Inferring Reduced S-system Models of Genetic Networks

    • Author(s)
      Shuhei Kimura, Munehiro Furuta, Masanao Sato and Mariko Okada-Hatakeyama
    • Organizer
      2014 International Conference on Information Systems and Computing Technology
    • Place of Presentation
      鳥取大学
    • Year and Date
      2014-10-04 – 2014-10-05
    • Data Source
      KAKENHI-PROJECT-26330275
  • 1.  Okada Mariko (10342833)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 15 results

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