2. Innovation of Life Science through Digital Transformation Focused on AI-driven Technologies-Reference-Cited by-同舟云学术

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2. Innovation of Life Science through Digital Transformation Focused on AI-driven Technologies

Published:2023-09-10 Issue:9 Volume:112 Page:1631-1635
ISSN:0021-5384
Container-title:Nihon Naika Gakkai Zasshi
language:en
Short-container-title:J. Jpn. Soc. Intern. Med.

Author:

Okada Yasushi¹²³⁴⁵

Affiliation:

1. RIKEN Center for Biosystems Dynamics Research (BDR)

2. Department of Cell Biology, Graduate School of Medicine, the University of Tokyo

3. Department of Physics, Graduate School of Science, The University of Tokyo

4. Universal Biology Institute (UBI), the University of Tokyo

5. International Research Centner for Neurointelligence (WPI-IRCN), Institutes for Advanced Study, the University of Tokyo

Publisher

Japanese Society of Internal Medicine

Link

https://www.jstage.jst.go.jp/article/naika/112/9/112_1631/_pdf

Reference8 articles.

1. 1) Le Q, et al: Building high-level features using large scale unsupervised learning. International Conference in Machine Learning. 2012.

2. 2) 岡田康志編・著: 初めてでもできる！超解像イメージング, 羊土社, 東京, 2016.

3. 3) 岡田康志: イメージングによるオミクス状態の推定. 空間オミクス解析スタートアップ実践ガイド. 鈴木穣編. 羊土社, 東京, 2022, 196-202.

4. 4) Okamoto K, et al: Single-molecule tracking of Nanog and Oct4 in living mouse embryonic stem cells uncovers a feedback mechanism of pluripotency maintenance. EMBO J. in press, 2023.

5. 5) Nozaki T, et al: Condensed but liquid-like domain organization of active chromatin regions in living human cells. Science Advances 9: eadf1488, 2023.

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