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J-GLOBAL ID:201401096521596568   Update date: Mar. 27, 2025

Akutsu Tatsuya

アクツ タツヤ | Akutsu Tatsuya
Affiliation and department:
Homepage URL  (1): http://www.bic.kyoto-u.ac.jp/takutsu/members/takutsu/japanese.html
Research field  (3): Intelligent informatics ,  Information theory ,  Biological, health, and medical informatics
Research theme for competitive and other funds  (23):
  • 2022 - 2027 Advanced Studies and Developments on Discrete Preimage Problems
  • 2018 - 2023 Analysis and Applications of Discrete Preimage Problems
  • 2017 - 2020 Pan-cancer module and network analysis for identifying dominating subnetworks across hu man cancers
  • 2014 - 2019 An Approach to Novel Structure Design by Combining Discrete Methods and Statistical Methods
  • 2014 - 2018 Structurally Robust Control of Complex Networks
Show all
Papers (180):
  • Muniba Batool, Naveed Ahmed Azam, Jianshen Zhu, Kazuya Haraguchi, Liang Zhao, Tatsuya Akutsu. A unified approach to inferring chemical compounds with the desired aqueous solubility. Journal of Cheminformatics. 2025. 17. 1
  • Jianshen Zhu, Naveed Ahmed Azam, Shengjuan Cao, Ryota Ido, Kazuya Haraguchi, Liang Zhao, Hiroshi Nagamochi, Tatsuya Akutsu. Quadratic descriptors and reduction methods in a two-layered model for compound inference. Frontiers in Genetics. 2025. 15
  • Ryota Ido, Shengjuan Cao, Jianshen Zhu, Naveed Ahmed Azam, Kazuya Haraguchi, Liang Zhao, Hiroshi Nagamochi, Tatsuya Akutsu. A Method for Inferring Polymers Based on Linear Regression and Integer Programming. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2024. 21. 6. 1623-1632
  • Yusuke Tokuhara, Tatsuya Akutsu, Jean-Marc Schwartz, Jose C Nacher. A practically efficient algorithm for identifying critical control proteins in directed probabilistic biological networks. NPJ systems biology and applications. 2024. 10. 1. 87-87
  • Wataru Someya, Tatsuya Akutsu, Jose C Nacher. Target control of linear directed networks based on the path cover problem. Scientific reports. 2024. 14. 1. 16881-16881
more...
MISC (112):
  • Bowen Song, Jianshen Zhu, Naveed Ahmed Azam, Kazuya Haraguchi, Liang Zhao, Tatsuya Akutsu. Cycle-Configuration: A Novel Graph-theoretic Descriptor Set for Molecular Inference. arXiv. 2024. arXiv.2408.05136
  • Yanan Wang, Fuyi Li, Manasa Bharathwaj, Natalia C Rosas, André Leier, Tatsuya Akutsu, Geoffrey I Webb, Tatiana T Marquez-Lago, Jian Li, Trevor Lithgow, et al. DeepBL: A deep learning-based approach for in silico discovery of beta-lactamases. Briefings in Bioinformatics. 2021. 22. 4
  • Tatsuya Akutsu. Bioinformatics: An Overview. 2021. 71. 6. 247-251
  • Natsu Nakajima, Tatsuya Akutsu, Ryuichiro Nakato. Identifying gene co-expression networks and mutually exclusive gene sets from scRNA-seq data. 2020. 52. 13. 758-760
  • Tatsuya Akutsu. Analysis of Boolean Networks and Boolean Models of Metabolic Networks. Application of Omics, AI and Blockchain in Bioinformatics Research (Book Chapter). 2019
more...
Books (8):
  • バイオインフォマティクスのための人工知能入門 : 基礎から行列・テンソル分解/深層学習まで
    朝倉書店 2024 ISBN:9784254122985
  • 複雑ネットワークと制御理論
    森北出版 2023 ISBN:9784627818811
  • バイオインフォマティクス : Pythonによる実践レシピ
    朝倉書店 2020 ISBN:9784254122541
  • Algorithms for Analysis, Inference, and Control of Boolean Networks
    World Scientific 2018
  • Sequence alignment algorithms: Applications to glycans and trees and tree-like structures
    Handbook of Chemoinformatics Algorithms , , 363-381 2010
more...
Lectures and oral presentations  (34):
  • 機械学習と混合整数線形計画法に基づいた化合物推定
    (スケジューリング・シンポジウム2024 2024)
  • On the Number of Nodes of the Decoder of an Autoencoder with Linear Threshold Activation Functions
    (2024)
  • Recent Advances in Generative AI and its Applications to Molecular Design
    (The First Workshop on Graph Learning and Applications 2024)
  • Analysis of Biological Networks Using Graph Theoretic Concepts
    (2024 16th International Conference on Bioinformatics and Biomedical Technology 2024)
  • On the Number of Nodes in Autoencoders with Linear Threshold Activation Functions and Random Forests
    (Prediction Science Seminar (RIKEN) 2024)
more...
Education (3):
  • 1986 - 1989 The University of Tokyo The Graduate School of Engineering
  • 1984 - 1986 The University of Tokyo
  • 1980 - 1984 The University of Tokyo The Faculty of Engineering
Professional career (1):
  • 工学博士 (東京大学)
Work history (4):
  • 2001/10 - 現在 Kyoto University Institute for Chemical Research Bioinformatics Center
  • 1996/04 - 2001/09 The University of Tokyo The Institute of Medical Science Human Genome Center
  • 1994/04 - 1996/03 Gunma University
  • 1989/04 - 1994/03 通商産業省工業技術院機械技術研究所 研究員
Awards (1):
  • 2022/09 - Japanese Society for Bioinformatics Japanese Society for Bioinformatics Prize Mathematical and Pioneering Studies on Inference and Control of Biological Networks
※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

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