An active learning approach for clustering single-cell RNA-seq data

Single-cell RNA sequencing (scRNA-seq) data has been widely used to profile cellular heterogeneities with a high-resolution picture. Clustering analysis is a crucial step of scRNA-seq data analysis because it provides a chance to identify and uncover the undiscovered cell types. Most methods for clu...

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Detalles Bibliográficos
Autores principales: Lin, Xiang, Liu, Haoran, Wei, Zhi, Roy, Senjuti Basu, Gao, Nan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8742847/
https://www.ncbi.nlm.nih.gov/pubmed/34244616
http://dx.doi.org/10.1038/s41374-021-00639-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8742847/
https://www.ncbi.nlm.nih.gov/pubmed/34244616
http://dx.doi.org/10.1038/s41374-021-00639-w

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