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J-GLOBAL ID:201301052022350901   Update date: Sep. 24, 2021

Iida Keita

イイダ ケイタ | Iida Keita
Affiliation and department:
Job title: Assistant Professor
Research field  (2): Applied mathematics and statistics ,  Basic mathematics
Research keywords  (4): Applied mathematics ,  Mathematical Physics ,  Mathematical Biology ,  Bioinformatics
Research theme for competitive and other funds  (6):
  • 2020 - 2023 一細胞データから遺伝子の制御構造を定量推定するための確率・統計理論の構築
  • 2020 - 2022 がん可塑性の機構解明に向けた知識データ活用型の革新的オミクス解析
  • 2021 - 2021 Workshop on omics analysis: experiment and mathematics
  • 2019 - 確率・統計を用いた1細胞遺伝子発現の数理解析と生物学的 パラメータの推定
  • 2015 - 2017 遺伝子発現解析によるマウス胎仔低酸素バイオマーカーの探索
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Papers (13):
  • Keita Iida, Jumpei Kondo, Johannes Nicolaus Wibisana, Masahiro Inoue, Mariko Okada. ASURAT: functional annotation-driven unsupervised clustering of single-cell transcriptomes. 2021
  • Kyoichi Ebata, Sawa Yamashiro, Keita Iida, Mariko Okada. Building patient-specific models for receptor tyrosine kinase signaling networks. The FEBS Journal. 2021
  • Hideki Tokunaga, Keita Iida, Atsushi Hozawa, Soichi Ogishima, Yoh Watanabe, Shogo Shigeta, Muneaki Shimada, Yumi Yamaguchi-Kabata, Shu Tadaka, Fumiki Katsuoka, et al. Novel candidates of pathogenic variants of the BRCA1 and BRCA2 genes from a dataset of 3,552 Japanese whole genomes (3.5KJPNv2). PLOS ONE. 2021. 16. 1. e0236907-e0236907
  • Keita Iida, Nobuaki Obata, Yoshitaka Kimura. Quantifying heterogeneity of stochastic gene expression. Journal of Theoretical Biology. 2019. 465. 56-62
  • Keita Iida, Yoshitaka Kimura. Mathematical Theory to Compute Stochastic Cellular Processes. APPLICATIONS + PRACTICAL CONCEPTUALIZATION + MATHEMATICS = FRUITFUL INNOVATION. 2016. 11. 117-120
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MISC (7):
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Books (2):
  • 医学のあゆみ
    医歯薬出版株式会社 2021
  • Self-Organized Motion (Chap. 2)
    Royal Society of Chemistry Book 2018
Lectures and oral presentations  (46):
  • 記号学と情報科学にもとづく解釈可能な1細胞RNA-seq解析
    (Q-bio Seminar 2021)
  • 生物データの解釈問題に対する記号学・数学的アプローチ
    (2021)
  • 記号学と情報科学にもとづく解釈可能な一細胞トランスクリプトーム解析
    (公開セミナー(於下平英寿研究室) 2021)
  • トランスクリプトームデータから生物学的意味の体系を抽出する
    (医学研究における数理的方法 2021)
  • Extracting systems of biological meanings from transcriptome data
    (IPR Colloquium 2021)
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Work history (7):
  • 2019/04 - 現在 Osaka University Laboratory of Cell Systems, Institute for Protein Research, Osaka University Assistant Professor
  • 2018/07 - 2019/03 University of Tokyo Institute of industrial science, Laboratory for Quantitative Biology Project assistant professor
  • 2017/01 - 2018/06 Tohoku University Tohoku Medical Megabank Organization Additional
  • 2017/01 - 2018/06 Tohoku University International Research Institute of Disaster Science, Department of Disaster Psychiatry Assistant Professor
  • 2015/05 - 2016/12 Tohoku University Hospital Clinical Research, Innovation and Education Center Project assistant professor
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Awards (2):
  • 2020/02 - The Mathematical Society of Japan The 2019 MSJ Prize for Exellent Applied Mathematicians
  • 2018/12 - Editage Edge Editage Edge Fundamental Research Grant
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