Rchr
J-GLOBAL ID：201901003364183466
Update date: Oct. 03, 2024
Lee Seohyun
イ ソヒョン | Lee Seohyun
Affiliation and department：
Job title：
Assistant Professor
Research field (3)：
Systems genomics
, Computational science
, Biophysics
Research keywords (6)：
Epigenetics
, Natural Language Processing
, Bioinformatics
, Biomedical imaging
, Machine Learning
, Biophysics
Research theme for competitive and other funds (4)：
- 2021 - 2025 Dynamic behavior and pathological significance of small RNA in outer membrane vesicles of periodontopathic bacteria
- 2024 - 2025 感染経路と薬物伝達過程の解明に向けたAI技術基盤小胞輸送解析
- 2020 - 2023 Development of cell image data analysis method for highly accurate 3D vesicle movement detection based on computer vision techniques
- 2019 - 2021 Understanding the intracellular transport of endosomes using machine learning approach
Papers (21)：
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Seohyun Lee, Che Lin, Chien-Yu Chen, Ryuichiro Nakato. ChromBERT: Uncovering Chromatin State Motifs in the Human Genome Using a BERT-based Approach. bioRxiv. 2024
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Luis Augusto Eijy Nagai, Seohyun Lee, Ryuichiro Nakato. Protocol for identifying differentially expressed genes using the RumBall RNA-seq analysis platform. STAR protocols. 2024. 5. 1. 102926-102926
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Hyuno Kim, Seohyun Lee, Yuji Yamakawa. Direct face pose estimation using multiple camera views and deep learning. Proceedings of SPIE - The International Society for Optical Engineering. 2023. 12438
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Seohyun Lee, Hyuno Kim, Hideo Higuchi. Automation of detecting and tracking 3D vesicle transport using dual-focus optics. Progress in Biomedical Optics and Imaging - Proceedings of SPIE. 2023. 12385
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Seohyun Lee, Hyuno Kim, Hideo Higuchi, Masatoshi Ishikawa, Ryuichiro Natato. A Generative Adversarial Network Approach to Metastatic Cancer Cell Images. 4th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2022 - Proceedings. 2022. 403-406
ｍore...
MISC (11)：
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3P-117 ChromBERT: Discovering Chromatin State Patterns in the Human Genome Through a BERT-Based Methodology (Poster, The 46th Annual Meeting of the Molecular Biology Society of Japan). 2023
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Seohyun Lee, Ryuichiro Nakato. P-117 ChromBERT: Identifying Chromatin State Patterns in Human Genome via BERT Techniques (Poster, 2023年日本バイオインフォマティクス学会年会). 第12回生命医薬情報学連合大会(IIBMP2023). 2023
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イ ソヒョン, 中戸 隆一郎. IHEC project: collection and characterization of human epigenome data. 2022
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1Pos295 An automatic detection and tracking method for the 3D reconstruction of vesicle movement in a living cell (Poster,The 60th Annual Meeting of the Biophysical Society of Japan(BSJ2022)). 2022
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3-08-1330 Understanding of vesicle transport using machine learning and image processing technology (Poster,The 59th Annual Meeting of the Biophysical Society of Japan(BSJ2021)). 2021
ｍore...
Lectures and oral presentations (1)：
-
Deep learning approach for metastatic cancer cell classification using live-cell imaging data
(SPIE Photonics West BiOS: Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XX 2022)
Education (3)：
- 2014 - 2018 The University of Tokyo Graduate School of Science, Dept. of Physics Ph.D.
- 2012 - 2014 The University of Tokyo Graduate School of Science, Dept. of Physics M.S.
- 2002 - 2007 Ewha Womans University , College of Natural Science, Department of Physics B.S.
Work history (5)：
- 2024/04 - 現在 The University of Tokyo Interfaculty Initiative in Information Studies Graduate School of Interdisciplinary Information Studies Assistant professor
- 2021/10 - 2024/03 The University of Tokyo Institute for Quantitative Biosciences Project Assistant Professor
- 2020/04 - 2021/10 The University of Tokyo Information Technology Center Project Researcher
- 2018/11 - 2020/03 The University of Tokyo Graduate School of Information Science and Technology Project Researcher
- 2007/07 - 2009/06 SK hynix Advanced Design Team Research Engineer
Awards (2)：
- 2023/09 - 第12回生命医薬情報学連合大会(IIBMP2023) 優秀ポスター発表 ChromBERT: Identifying Chromatin State Patterns in Human Genome via BERT Techniques
- 2011/04 - 文部科学省 日本政府国費外国人留学生奨学金
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