Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Mapping Cell Atlases at the Single‐Cell Level
https://orcid.org/0000-0002-1716-4621
AbstractRecent advancements in single‐cell technologies have led to rapid developments in the construction of cell atlases. These atlases have the potential to provide detailed information about every cell type in different organisms, enabling the characterization of cellular diversity at the single‐cell level. Global efforts in developing comprehensive cell atlases have profound implications for both basic research and clinical applications. This review provides a broad overview of the cellular diversity and dynamics across various biological systems. In addition, the incorporation of machine learning techniques into cell atlas analyses opens up exciting prospects for the field of integrative biology.
Mapping Cell Atlases at the Single‐Cell Level
https://orcid.org/0000-0002-1716-4621
AbstractRecent advancements in single‐cell technologies have led to rapid developments in the construction of cell atlases. These atlases have the potential to provide detailed information about every cell type in different organisms, enabling the characterization of cellular diversity at the single‐cell level. Global efforts in developing comprehensive cell atlases have profound implications for both basic research and clinical applications. This review provides a broad overview of the cellular diversity and dynamics across various biological systems. In addition, the incorporation of machine learning techniques into cell atlas analyses opens up exciting prospects for the field of integrative biology.
Mapping Cell Atlases at the Single‐Cell Level
https://orcid.org/0000-0002-1716-4621
AbstractRecent advancements in single‐cell technologies have led to rapid developments in the construction of cell atlases. These atlases have the potential to provide detailed information about every cell type in different organisms, enabling the characterization of cellular diversity at the single‐cell level. Global efforts in developing comprehensive cell atlases have profound implications for both basic research and clinical applications. This review provides a broad overview of the cellular diversity and dynamics across various biological systems. In addition, the incorporation of machine learning techniques into cell atlas analyses opens up exciting prospects for the field of integrative biology.
Mapping Cell Atlases at the Single‐Cell Level
Advanced Science
Ye, Fang (Autor:in) / Wang, Jingjing (Autor:in) / Li, Jiaqi (Autor:in) / Mei, Yuqing (Autor:in) / Guo, Guoji (Autor:in)
Advanced Science ; 11
01.02.2024
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
| Online Contents | 1998
Online Contents | 1995