Application of Deep Learning on Single-cell RNA Sequencing Data Analysis: A Review

Single-cell RNA sequencing (scRNA-seq) has become a routinely used technique to quantify the gene expression profile of thousands of single cells simultaneously. Analysis of scRNA-seq data plays an important role in the study of cell states and phenotypes, and has helped elucidate biological process...

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Detalles Bibliográficos
Autores principales: Brendel, Matthew, Su, Chang, Bai, Zilong, Zhang, Hao, Elemento, Olivier, Wang, Fei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10025684/
https://www.ncbi.nlm.nih.gov/pubmed/36528240
http://dx.doi.org/10.1016/j.gpb.2022.11.011

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10025684/
https://www.ncbi.nlm.nih.gov/pubmed/36528240
http://dx.doi.org/10.1016/j.gpb.2022.11.011

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