Rchr
J-GLOBAL ID:202301013108344299   Update date: Jan. 30, 2024

Nacher Jose

Nacher Jose
Affiliation and department:
Job title: Professor
Research field  (4): Intelligent informatics ,  Biological, health, and medical informatics ,  Biological, health, and medical informatics ,  Intelligent informatics
Research keywords  (5): Computational Biology ,  Complex Networks ,  Statistical Mechanics Methods ,  Discrete Mathematics ,  Machine learning
Research theme for competitive and other funds  (5):
  • 2018 - 2023 複雑生物情報ネットワークにおけるダイナミクスと制御性の統合情報解析
  • 2013 - 2018 Control of complex biological networks: theory and applications
  • 2009 - 2014 Theory and design of perfect invisibility devices
  • 2011 - 2012 Elucidation of modularity in transcriptional regulatory networks
  • 2009 - 2010 Mathematical modeling of transcriptional regulatory networks based on bipartite graphs.
Papers (89):
  • Wataru Someya, Tatsuya Akutsu, Jean-Marc Schwartz, Jose C Nacher. Measuring criticality in control of complex biological networks. NPJ systems biology and applications. 2024. 10. 1. 9-9
  • Tomoshiro Ochiai, Jose C. Nacher. Unveiling the directional network behind financial statements data using volatility constraint correlation. Physica A: Statistical Mechanics and its Applications. 2022. 600
  • Eimi Yamaguchi, Tatsuya Akutsu, Jose C Nacher. Probabilistic Critical Controllability Analysis of Protein Interaction Networks Integrating Normal Brain Ageing Gene Expression Profiles. International journal of molecular sciences. 2021. 22. 18
  • Yuma Shinzawa, Tatsuya Akutsu, Jose C Nacher. Uncovering and classifying the role of driven nodes in control of complex networks. Scientific reports. 2021. 11. 1. 9627-9627
  • Morihiro Hayashida, Hitoshi Koyano, Jose C. Nacher. Measuring the Similarity of Proteomes using Grammar-based Compression via Domain Combinations. Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - Volume 3: BIOINFORMATICS(BIOINFORMATICS). 2020. 117-122
more...
MISC (20):
  • 川上瞬汰, 林田守広, 藤嶋教彰, ナチェルホセ. 敵対的生成ネットワークとグラフ畳み込みニューラルネットワークを用いた遺伝子発現データからの肺がん予測. 情報処理学会研究報告. 2023. 2023-MPS-142. 5. 1-2
  • OCHIAI Tomoshiro, NACHER Jose C. Application of VC Correlation in Financial Data. JSAI Technical Report, Type 2 SIG. 2021. 2021. FIN-026. 53
  • 代謝経路制御における被制御頂点の分析. 情報処理学会第64回バイオ情報学研究会. 2020. 2020-BIO-64. 4. 1-1
  • 山口 英実,阿久津 達也,ナチェル ホセ. 確率的可制御性解析による脳老化における重要タンパク質の同定. 情報処理学会第64回バイオ情報学研究会. 2020. 2020-BIO-64. 4. 1-1
  • 母里卓也, 林田守広, 阿久津達也, ナチェル ホセ. ncRNA-疾患関連性の予測法の改良. 情報処理学会第55回バイオ情報学研究会 IPSJ SIG Technical report. 2018. 2018. 5. 1-2
more...
Books (1):
  • 複雑ネットワークと制御理論 = Complex networks and control theory
    森北出版 2023 ISBN:9784627818811
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