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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Detalles Bibliográficos
Autores principales: Asada, Ken, Takasawa, Ken, Machino, Hidenori, Takahashi, Satoshi, Shinkai, Norio, Bolatkan, Amina, Kobayashi, Kazuma, Komatsu, Masaaki, Kaneko, Syuzo, Okamoto, Koji, Hamamoto, Ryuji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8614827/
https://www.ncbi.nlm.nih.gov/pubmed/34829742
http://dx.doi.org/10.3390/biomedicines9111513

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8614827/
https://www.ncbi.nlm.nih.gov/pubmed/34829742
http://dx.doi.org/10.3390/biomedicines9111513

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