Rchr
J-GLOBAL ID:200901009973389845   Update date: Jul. 23, 2020

Shiga Motoki

シガ モトキ | Shiga Motoki
Affiliation and department:
Job title: Associate Professor
Homepage URL  (1): http://www1.gifu-u.ac.jp/~siglab/index.html
Research field  (7): Biological, health, and medical informatics ,  Mathematical informatics ,  Statistical science ,  Intelligent informatics ,  Biological, health, and medical informatics ,  Statistical science ,  Information theory
Research keywords  (7): Materials Informatics ,  Material Informatics ,  Statistical Machine Learning ,  Chemoinformatics ,  Bioinformatics ,  Data Mining ,  Machine Learning
Research theme for competitive and other funds  (17):
  • 2016 - 2020 Statistical Machine Learning to combine multiple datasets
  • 2016 - 2020 Machine Learning to combine multiple datasets
  • 2016 - 2018 Machine Learning for Materials Informatics
  • 2016 - 2018 Machine Learning for Materials Informatics
  • 2015 - 2016 Biological Data Analysis Based on Statistical Machine Learning Approach
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Papers (45):
  • Yohei Onodera, Shinji Kohara, Shuta Tahara, Atsunobu Masuno, Hiroyuki Inoue, Motoki Shiga, Akihiko Hirata, Koichi Tsuchiya, Yasuaki Hiraoka, Ippei Obayashi, Koji Ohara, Akitoshi Mizuno, Osami Sakata. Understanding diffraction patterns of glassy, liquid and amorphous materials via persistent homology analyses. Journal of the Ceramic Society of Japan. 2019
  • Shunsuke Muto, Motoki Shiga. Application of machine learning techniques to electron microscopic/spectroscopic image data analysis. Microscopy. 2019
  • Yuhki Tsukada, Shion Takeno, Masayuki Karasuyama, Hitoshi Fukuoka, Motoki Shiga, Toshiyuki Koyama. Estimation of material parameters based on precipitate shape: efficient identification of low-error region with Gaussian process modeling. Scientific Reports. 2019. 9. 15794
  • Motoki Shiga, Shunsuke Muto. Non-negative matrix factorization and its extensions for spectral image data analysis. e-Journal of Surface Science and Nanotechnology. 2019. 17. 148-154
  • Michael Patrick Menden, Dennis Wang, Yuanfang Guan, Michael Mason, Bence Szalai, Krishna C Bulusu, Thomas Yu, Jaewoo Kang, Minji Jeon, Russ Wolfinger, Tin Nguyen, Mikhail Zaslavskiy, AstraZeneca-Sanger Drug Combination, DREAM Consortium, In Sock Jang, Zara Ghazoui, Mehmet Eren Ahsen, Robert Vogel, Elias Chaibub Neto, Thea Norman, Eric KY Tang, Mathew J Garnett, Giovanni Di Veroli, Stephen Fawell, Gustavo Stolovitzky, Justin Guinney, Jonathan R Dry, Julio Saez-Rodriguez. Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen. Nature Communications. 2019. 10. 2674
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MISC (4):
  • 茅野光範, 瀧川一学, 志賀元紀, 津田宏治, 馬見塚拓. ロバスト相関係数差とP-値による交互作用遺伝子対の効率的検出手法. 統計関連学会連合大会講演報告集. 2010. 2010. 210
  • KAYANO Mitsunori, TAKIGAWA Ichigaku, SHIGA Motoki, TSUDA Koji, MAMITSUKA Hiroshi. Finding three-way gene interactions from transcript and genotype data. Proc Annu Conf Jpn Soc Bioinform. 2010. 2010. P069.1-P069.2
  • KAYANO Mitsunori, TAKIGAWA Ichigaku, SHIGA Motoki, TSUDA Koji, MAMITSUKA Hiroshi. Association of SNPs with Multiple Genes Using a Nonlinear Regression Model. Proc Annu Conf Jpn Soc Bioinform. 2008. 2008. P049.1-P049.2
  • TAKIGAWA Ichigaku, HASHIMOTO Kosuke, SHIGA Motoki, KANEHISA Minoru, MAMITSUKA Hiroshi. Efficiently finding significant substructural patterns conserved in glycans. Proc Annu Conf Jpn Soc Bioinform. 2008. 2008. P066.1-P066.2
Books (1):
  • Nanoinformatics
    Springer 2018 ISBN:9789811076176
Lectures and oral presentations  (3):
  • Statistical machine learning for spectrum image data analysis
    (JST PRESTO International Symposium on Materials Informatics 2019)
  • Statistical Machine Learning for Spectrum Image Data Analysis
    (The 19th KIM-JIM Symposium -Recent Advances in Artificial Intelligence and Simulations in Materials Science and Engineering- 2018)
  • Statistical Machine Learning for Microscopy Data Analysis
    (14th International Conference on Atomically Controlled Surfaces, Interfaces and Nanostructures (ACSIN-14) and 26th International Colloquium on Scanning Probe Microscopy (ICSPM26) 2018)
Professional career (1):
  • Ph.D. (Engineering) (Gifu University)
Work history (7):
  • 2018/06 - 現在 RIKEN Visiting researcher
  • 2017/04 - 現在 Gifu University Associate Professor
  • 2016/10 - 2020/03 Japan Science and Technology Agency PRESTO(Precursory Research for Embryonic Science and Technology) Researcher
  • 2011/04 - 2013/09 Graduate School of Computer Science and Engineering, Toyohashi University of Technology Assistant Professor
  • 2008/04 - 2011/03 Graduate School of Pharmaceutical Sciences, Kyoto University Assistant Professor
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Awards (1):
  • 2015/08/17 - Dream Challenges a Top Performer of DREAM 9.5 Prostate Cancer DREAM Challenge, Sub-Challenge 1-b.
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