scCATCH: Automatic Annotation on Cell Types of Clusters from Single-Cell RNA Sequencing Data

Recent advancements in single-cell RNA sequencing (scRNA-seq) have facilitated the classification of thousands of cells through transcriptome profiling, wherein accurate cell type identification is critical for mechanistic studies. In most current analysis protocols, cell type-based cluster annotati...

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Detalles Bibliográficos
Autores principales: Shao, Xin, Liao, Jie, Lu, Xiaoyan, Xue, Rui, Ai, Ni, Fan, Xiaohui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7031312/
https://www.ncbi.nlm.nih.gov/pubmed/32062421
http://dx.doi.org/10.1016/j.isci.2020.100882

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7031312/
https://www.ncbi.nlm.nih.gov/pubmed/32062421
http://dx.doi.org/10.1016/j.isci.2020.100882

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