Machine Intelligence in Single-Cell Data Analysis: Advances and New Challenges

The rapid development of single-cell technologies allows for dissecting cellular heterogeneity at different omics layers with an unprecedented resolution. In-dep analysis of cellular heterogeneity will boost our understanding of complex biological systems or processes, including cancer, immune syste...

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Detalles Bibliográficos
Autores principales: Liu, Jiajia, Fan, Zhiwei, Zhao, Weiling, Zhou, Xiaobo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8203333/
https://www.ncbi.nlm.nih.gov/pubmed/34135939
http://dx.doi.org/10.3389/fgene.2021.655536

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8203333/
https://www.ncbi.nlm.nih.gov/pubmed/34135939
http://dx.doi.org/10.3389/fgene.2021.655536

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