Iida Keita 飯田渓太

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飯田渓太イイダケイタ

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Researcher Number	10709653
Other IDs	https://orcid.org/0000-0002-1076-830X
Affiliation (Current)	2025: 大阪大学, 蛋白質研究所, 准教授
Affiliation (based on the past Project Information) *help	2025: 大阪大学, 蛋白質研究所, 准教授 2022 – 2023: 大阪大学, 蛋白質研究所, 准教授 2020 – 2021: 大阪大学, 蛋白質研究所, 助教 2016: 東北大学, 災害科学国際研究所, 助教 2015: 東北大学, 大学病院, 助教
Review Section/Research Field	Principal Investigator Basic Section 50010:Tumor biology-related / Basic Section 12040:Applied mathematics and statistics-related / Embryonic/Neonatal medicine
Keywords	Principal Investigator Single-cell omics / Cancer / Mathematical modeling / Bayes theory / Hypergeometric function / Integral transform / Probability theory / Gene expression / 真核生物 / 確率過程 … More / マルコフ連鎖モンテカルロ法 / 確率モデリング / シングルセル / 遺伝子発現 / 一細胞解析 / ベイズ推定 / 超幾何関数 / 数理モデル論 / 確率過程論 / 遺伝子発現ライブラリ作成 / 血液サンプル採取 / 遺伝子発現解析 / 低酸素ストレス / cell-free DNA Less

Mathematical framework for predicting disease progression dynamics from small-sample omics dataPrincipal Investigator
- Principal Investigator
  
  飯田渓太
- Project Period (FY)
  2025 – 2027
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 50010:Tumor biology-related
- Research Institution
  The University of Osaka
Quantifying and clarifying gene regulatory structure from single-cell level dataPrincipal Investigator
- Principal Investigator
  
  Iida Keita
- Project Period (FY)
  2020 – 2023
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 12040:Applied mathematics and statistics-related
- Research Institution
  Osaka University
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Principal Investigator
- Principal Investigator
  
  飯田渓太
- Project Period (FY)
  2015 – 2016
- Research Category
  
  Grant-in-Aid for Young Scientists (B)
- Research Field
  
  Embryonic/Neonatal medicine
- Research Institution
  Tohoku University

All 2023 2022 2021 2020 2016

All Journal Article Presentation Book

[Book] 生体の科学 2023年 4月号特集　未病の科学2023
- Author(s)
  飯田　渓太
- Total Pages
  97
- Publisher
  医学書院
- Data Source
  KAKENHI-PROJECT-20K14361
[Journal Article] ASURAT: functional annotation-driven unsupervised clustering of single-cell transcriptomes2022
- Author(s)
  Iida Keita、Kondo Jumpei、Wibisana Johannes Nicolaus、Inoue Masahiro、Okada Mariko
- Journal Title
  
  Bioinformatics
  
  Volume: 38 Issue: 18 Pages: 4330-4336
- DOI
  10.1093/bioinformatics/btac541
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-22K19456, KAKENHI-PROJECT-20K14361, KAKENHI-PROJECT-21H02714
[Presentation] 遺伝子発現調節の確率モデリングとパラメータ推定2023
- Author(s)
  飯田渓太
- Organizer
  若手数学者交流会2023
- Invited
- Data Source
  KAKENHI-PROJECT-20K14361
[Presentation] 遺伝子発現調節の確率モデリングとパラメータ推定2023
- Author(s)
  飯田渓太
- Organizer
  若手数学者交流会2023
- Invited
- Data Source
  KAKENHI-PROJECT-20K14361
[Presentation] Clustering single-cell and spatial transcriptomes through multifaceted biological aspects2022
- Author(s)
  Keita Iida
- Organizer
  1st International Symposium on Aihara Moonshot Project
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K14361
[Presentation] 遺伝子発現の１細胞データ解析2022
- Author(s)
  飯田渓太
- Organizer
  日本数学会
- Invited
- Data Source
  KAKENHI-PROJECT-20K14361
[Presentation] Mathematical and semiological approach to single-cell and spatial transcriptomics2021
- Author(s)
  飯田渓太
- Organizer
  第16回生命医科学研究所ネットワーク国際シンポジウム
- Data Source
  KAKENHI-PROJECT-20K14361
[Presentation] 記号学と数理情報科学にもとづく遺伝子発現データの多層解析2021
- Author(s)
  飯田渓太
- Organizer
  IPRセミナー
- Data Source
  KAKENHI-PROJECT-20K14361
[Presentation] 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
- Author(s)
  飯田渓太
- Organizer
  第1回合原ムーンショットプロジェクト全体会議
- Data Source
  KAKENHI-PROJECT-20K14361
[Presentation] 一般超幾何関数を用いた遺伝子発現モデルの解析2020
- Author(s)
  飯田渓太
- Organizer
  大阪大学MMDSモデリング部門主催ワークショップ「工学と数学の接点を求めて」
- Invited
- Data Source
  KAKENHI-PROJECT-20K14361
[Presentation] Complex systems found in life systems2016
- Author(s)
  Keita Iida and Yoshitaka Kimura
- Organizer
  Mathematical Approaches to Medical and Life Sciences
- Place of Presentation
  Tohoku University, Sendai
- Invited
- Data Source
  KAKENHI-PROJECT-15K19648

1. 井上正宏 (10342990)

# of Collaborated Projects: 1 results

# of Collaborated Products: 1 results
2. 近藤純平

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results

Iida Keita 飯田 渓太

飯田 渓太 イイダ ケイタ

Research Projects

Research Products

Co-Researchers

Mathematical framework for predicting disease progression dynamics from small-sample omics dataPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Quantifying and clarifying gene regulatory structure from single-cell level dataPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

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Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

[Book] 生体の科学 2023年 4月号 特集 未病の科学2023

Author(s)

Total Pages

Publisher

Data Source

[Journal Article] ASURAT: functional annotation-driven unsupervised clustering of single-cell transcriptomes2022

Author(s)

Journal Title

DOI

Data Source

[Presentation] 遺伝子発現調節の確率モデリングとパラメータ推定2023

Author(s)

Organizer

Data Source

[Presentation] 遺伝子発現調節の確率モデリングとパラメータ推定2023

Author(s)

Organizer

Data Source

[Presentation] Clustering single-cell and spatial transcriptomes through multifaceted biological aspects2022

Author(s)

Organizer

Data Source

[Presentation] 遺伝子発現の１細胞データ解析2022

Author(s)

Organizer

Data Source

[Presentation] Mathematical and semiological approach to single-cell and spatial transcriptomics2021

Author(s)

Organizer

Data Source

[Presentation] 記号学と数理情報科学にもとづく遺伝子発現データの多層解析2021

Author(s)

Organizer

Data Source

[Presentation] 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

Author(s)

Organizer

Data Source

[Presentation] 一般超幾何関数を用いた遺伝子発現モデルの解析2020

Author(s)

Organizer

Data Source

[Presentation] Complex systems found in life systems2016

Author(s)

Organizer

Place of Presentation

Data Source

Iida Keita 飯田渓太

飯田渓太イイダケイタ

[Book] 生体の科学 2023年 4月号特集　未病の科学2023

[Presentation] 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