Single-Cell Analysis Using Machine Learning Techniques and Its Application to Medical Research
In recent years, the diversity of cancer cells in tumor tissues as a result of intratumor heterogeneity has attracted attention. In particular, the development of single-cell analysis technology has made a significant contribution to the field; technologies that are centered on single-cell RNA seque...
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Auteurs principaux: | Ken Asada, Ken Takasawa, Hidenori Machino, Satoshi Takahashi, Norio Shinkai, Amina Bolatkan, Kazuma Kobayashi, Masaaki Komatsu, Syuzo Kaneko, Koji Okamoto, Ryuji Hamamoto |
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Format: | article |
Langue: | EN |
Publié: |
MDPI AG
2021
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Sujets: | |
Accès en ligne: | https://doaj.org/article/98e97ae928d2494d80ad06936e7c2a72 |
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