HASEGAWA TAKANORI 長谷川嵩矩

… Alternative Names

Hasagawa Takanori 長谷川嵩矩

Less

Researcher Number	80753756
Other IDs	https://orcid.org/0000-0001-7251-9950
Affiliation (Current)	2024: 東京科学大学, 総合研究院, 准教授
Affiliation (based on the past Project Information) *help	2021 – 2024: 東京医科歯科大学, M&Dデータ科学センター, 准教授 2020: 東京医科歯科大学, M&Dデータ科学センター, 講師 2015 – 2019: 東京大学, 医科学研究所, 助教
Review Section/Research Field	Principal Investigator Statistical science / Basic Section 62010:Life, health and medical informatics-related / Basic Section 60030:Statistical science-related Except Principal Investigator Basic Section 53030:Respiratory medicine-related / Basic Section 55060:Emergency medicine-related
Keywords	Principal Investigator 状態空間モデル / 統計的時系列解析 / 生体生命情報学 / 統計科学 / ネオアンチゲン / 応答性予測 / 深層学習 / 腫瘍特異的ネオ抗原 / がん免疫 / 生命情報学 … More / ゲノム解析 / メタゲノム解析 / 応用統計学 / 計算機統計学 / 健康情報学 / 健康診断データ / 腸内細菌叢ゲノム / ゲノムデータ / リスク予測 / 統計数学 / シミュレーション / がん解析 / データ同化 … More Except Principal Investigator COVID-19 / 遺伝子発現解析 / デジタル・トランスフォーメーション / 死亡予測モデル / 重症新型コロナウィルス感染症 / データサイエンス / 敗血症 / 代謝障害の経時的な解析 / 重症新型コロナウィルス感染症による敗血症 Less

Large-scale cross-ancestry multi-omics study to elucidate the pathogenesis of COVID-19 severity and Long COVID
- Principal Investigator
  
  中西智子
- Project Period (FY)
  2023 – 2025
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 53030:Respiratory medicine-related
- Research Institution
  The University of Tokyo
HLA結合性ネオ抗原予測を用いたがんの免疫療法への応答性予測の数理的解析Principal Investigator
- Principal Investigator
  
  長谷川嵩矩
- Project Period (FY)
  2022 – 2024
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 62010:Life, health and medical informatics-related
- Research Institution
  Tokyo Medical and Dental University
経時的遺伝子発現解析を用いた敗血症慢性重症経過の病態解明と予測モデル構築
- Principal Investigator
  
  内御堂亮
- Project Period (FY)
  2021 – 2023
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 55060:Emergency medicine-related
- Research Institution
  Tokyo Medical and Dental University
Prediction of microbiome-disease association using time series human microbiome dataPrincipal Investigator
- Principal Investigator
  
  Hasegawa Takanori
- Project Period (FY)
  2019 – 2021
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 60030:Statistical science-related
- Research Institution
  Tokyo Medical and Dental University
  The University of Tokyo
Predicting severity of lifestyle-related diseases by integrating time-series health records with human genome and metagenome dataPrincipal Investigator
- Principal Investigator
  
  Hasegawa Takanori
- Project Period (FY)
  2017 – 2018
- Research Category
  
  Grant-in-Aid for Young Scientists (B)
- Research Field
  
  Statistical science
- Research Institution
  The University of Tokyo
Statistical Modeling and Prediction for Therapy-induced Cancer Drug Resistance and PredictionPrincipal Investigator
- Principal Investigator
  
  Hasagawa Takanori
- Project Period (FY)
  2015 – 2016
- Research Category
  
  Grant-in-Aid for Research Activity Start-up
- Research Field
  
  Statistical science
- Research Institution
  The University of Tokyo

All 2023 2021 2020 2018 2017 2016 2015

All Journal Article Presentation Book

[Book] Pythonで実践　生命科学データの機械学習第7章実践編（2）：腫瘍特異的ネオ抗原の機械学習を用いた予測2023
- Author(s)
  清水秀幸、長谷川嵩矩他
- Total Pages
  445
- Publisher
  羊土社
- ISBN
  9784758122634
- Data Source
  KAKENHI-PROJECT-22K12260
[Journal Article] Application of state-space model with skew-t measurement noise to blood test value prediction2021
- Author(s)
  T. Hasegawa, R. Yamaguchi, M. Kakuta, M. Ando, J. Songee, I. Tokuda, K. Murashita and S. Imoto
- Journal Title
  
  Applied Mathematical Modelling
  
  Volume: 100 Pages: 365-378
- DOI
  10.1016/j.apm.2021.08.007
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19K20221
[Journal Article] Prediction of blood test values under different lifestyle scenarios using time-series electronic health record2020
- Author(s)
  T. Hasegawa, R. Yamaguchi, M. Kakuta, K. Sawada, K. Kawatani, K. Murashita, S. Nakaji and Seiya Imoto
- Journal Title
  
  PLOS ONE
  
  Volume: 15 Issue: 3 Pages: e0230172-e0230172
- DOI
  10.1371/journal.pone.0230172
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19K20221
[Journal Article] Ensemble smoothers for inference of hidden states and parameters in combinatorial regulatory model. Journal of the Franklin Institute2020
- Author(s)
  T. Hasegawa, R. Yamaguchi, A. Niida, S. Miyano, S. Imoto.
- Journal Title
  
  Journal of the Franklin Institute
  
  Volume: 357 Issue: 5 Pages: 2916-2933
- DOI
  10.1016/j.jfranklin.2019.10.015
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19K20221
[Journal Article] Time-Series Filtering for Replicated Observations via a Kernel Approximate Bayesian Computation2018
- Author(s)
  T. Hasegawa, K. Kojima, Y. Kawai, and M. Nagasaki
- Journal Title
  
  IEEE Transactions on Signal Processing
  
  Volume: 66(23) Issue: 23 Pages: 6148-6161
- DOI
  10.1109/tsp.2018.2872864
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-17K12647
[Journal Article] A likelihood-free filtering method via approximate Bayesian computation in evaluating biological simulation models2015
- Author(s)
  Hasegawa T, Niida A, Mori T, Shimamura T, Yamaguchi R, Miyano S, Akutsu T, Imoto S
- Journal Title
  
  Computational Statistics & Data Analysis
  
  Volume: 94 Pages: 63-74
- DOI
  10.1016/j.csda.2015.08.003
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-15K12139, KAKENHI-PLANNED-15H05912, KAKENHI-PROJECT-15H06008, KAKENHI-PROJECT-25730173
[Presentation] 状態空間モデルを用いた時系列ヘルスケアデータの解析と応用2018
- Author(s)
  長谷川嵩矩
- Organizer
  統計関連学会連合
- Invited
- Data Source
  KAKENHI-PROJECT-17K12647
[Presentation] L1 正則化付き状態空間モデルを用いた健診結果の将来予測2017
- Author(s)
  長谷川嵩矩
- Organizer
  2017年度統計関連学会連合大会
- Invited
- Data Source
  KAKENHI-PROJECT-17K12647
[Presentation] Time-series filtering for replicated observations via a kernel approximate Bayesian computation2016
- Author(s)
  Takanori Hasegawa
- Organizer
  9th International Conference of the ERCIM WG on Computational and Methodological Statistics 10th International Conference on Computational and Financial Econometrics
- Place of Presentation
  Higher Technical School of Engineering, University of Seville, Spain
- Year and Date
  2016-12-09
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-15H06008

1. 内御堂亮 (70883643)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
2. 中西智子 (70975359)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
3. 福永興壱 (60327517)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
4. 岡田随象 (70727411)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
5. 島村徹平

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results

HASEGAWA TAKANORI 長谷川 嵩矩

Hasagawa Takanori 長谷川 嵩矩

Research Projects

Research Products

Co-Researchers

Large-scale cross-ancestry multi-omics study to elucidate the pathogenesis of COVID-19 severity and Long COVID

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

HLA結合性ネオ抗原予測を用いたがんの免疫療法への応答性予測の数理的解析Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

経時的遺伝子発現解析を用いた敗血症慢性重症経過の病態解明と予測モデル構築

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Prediction of microbiome-disease association using time series human microbiome dataPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Predicting severity of lifestyle-related diseases by integrating time-series health records with human genome and metagenome dataPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

Statistical Modeling and Prediction for Therapy-induced Cancer Drug Resistance and PredictionPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

[Book] Pythonで実践 生命科学データの機械学習 第7章 実践編（2）：腫瘍特異的ネオ抗原の機械学習を用いた予測2023

Author(s)

Total Pages

Publisher

ISBN

Data Source

[Journal Article] Application of state-space model with skew-t measurement noise to blood test value prediction2021

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Prediction of blood test values under different lifestyle scenarios using time-series electronic health record2020

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Ensemble smoothers for inference of hidden states and parameters in combinatorial regulatory model. Journal of the Franklin Institute2020

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Time-Series Filtering for Replicated Observations via a Kernel Approximate Bayesian Computation2018

Author(s)

Journal Title

DOI

Data Source

[Journal Article] A likelihood-free filtering method via approximate Bayesian computation in evaluating biological simulation models2015

Author(s)

Journal Title

DOI

Data Source

[Presentation] 状態空間モデルを用いた時系列ヘルスケアデータの解析と応用2018

Author(s)

Organizer

Data Source

[Presentation] L1 正則化付き状態空間モデルを用いた健診結果の将来予測2017

Author(s)

Organizer

Data Source

HASEGAWA TAKANORI 長谷川嵩矩

Hasagawa Takanori 長谷川嵩矩

[Book] Pythonで実践　生命科学データの機械学習第7章実践編（2）：腫瘍特異的ネオ抗原の機械学習を用いた予測2023