TOHSATO Yukako

トオサトユカコ | TOHSATO Yukako

Affiliation and department：
Job title： Professor
Homepage URL (1)： http://www.cb.is.ritsumei.ac.jp

Research field (4)： Biological, health, and medical informatics , Systems genomics , Software , Intelligent informatics

Research keywords (1)：表現型解析

Research theme for competitive and other funds (5)：

2019 - 2022 Bayesian Optimization for Estimation of Unknown Multidimensional Psychophysical Functions
2016 - 2020 Development of stochastic models to represent cellular states and their application to analysis of nuclear division dynamics
2014 - 2017 Prediction of phosphorylation sites in human protein by machine learning and the functional role of intrinsically disordered regions
2013 - 2016 Strategy of a cell to survive during a long term stationary phase before cell proliferation.
2001 - 2001 多重アライメントアルゴリズムを用いたパスウェイ解析に関する研究

Papers (35)：

Yuki Shimojo, Kazuki Suehara, Tatsumi Hirata, Yukako Tohsato. Segmentation of Mouse Brain Slices with Unsupervised Domain Adaptation Considering Cross-sectional Locations. IPSJ Transactions on Bioinformatics. 2024. 17. 33-39
Hiroto Kawabata, Yuki Shimojo, Tatsumi Hirata, Yukako Tohsato. Large-scale Image Processing and Three-Dimensional Reconstruction of Mouse Brains with Neurogenic-Tagged Neurons. Proceedings of the 2023 13th International Conference on Biomedical Engineering and Technology. 2023. 1-7
Takashi Ohyama, Yukako Tohsato. Metabolic Network Analysis by Time-series Causal Inference Using the Multi-dimensional Space of Prediction Errors. IPSJ Transactions on Bioinformatics. 2023. 16. 13-19
Takeyuki Tamura, Ai Muto-fujita, Yukako Tohsato, Tomoyuki Kosaka. Gene Deletion Algorithms for Minimum Reaction Network Design by Mixed-Integer Linear Programming for Metabolite Production in Constraint-Based Models: gDel_minRN. Journal of Computational Biology. 2023. 30. 5. 553-568
Ito, Eisuke, Ueda, Takuya, Takano, Ryo, Tohsato, Yukako, Kyoda, Koji, Onami, Shuichi, Nishikawa, Ikuko. Phenotype anomaly detection for biological dynamics data using a deep generative model. Proceedings of the 31st International Conference on Artificial Neural Networks (ICANN 2022). Lecture Notes in Computer Science (LNCS). 2022. 13530. 432-444

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MISC (21)：

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Education (4)：

- 2002 Osaka University Graduate School, Division of Engineering Science
- 2002 Osaka University "Graduate School, Division of Engineering Science"
- 1997 Kyushu Institute of Technology Dept. Information Science
- 1995 Kyushu Institute of Technology Faculty of Computer Science and Systems Engineering

Professional career (2)：

Work history (11)：

2019/04 - 現在 Ritsumeikan University Department of Information Science and Engineering, College of Information Science and Engineering
2018/04 - 現在理化学研究所生命機能科学研究センター研究員・ポスドク
2019/04 - 2021/03 Osaka Electro-Communication University Faculty of Information and Communication Engineering, Department of Engineering Informatics
2017/04 - 2019/03 Osaka Electro-Communication University Faculty of Information and Communication Engineering, Department of Engineering Informatics
2013/04 - 2017/03 RIKEN Quantitative Biology Center Researher Postdoc

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Committee career (7)：

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Association Membership(s) (2)：

日本バイオインフォマティクス , 情報処理学会バイオ情報学研究会

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