Deep soft K-means clustering with self-training for single-cell RNA sequence data

Single-cell RNA sequencing (scRNA-seq) allows researchers to study cell heterogeneity at the cellular level. A crucial step in analyzing scRNA-seq data is to cluster cells into subpopulations to facilitate subsequent downstream analysis. However, frequent dropout events and increasing size of scRNA-...

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Detalles Bibliográficos
Autores principales: Chen, Liang, Wang, Weinan, Zhai, Yuyao, Deng, Minghua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Standard Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7671315/
https://www.ncbi.nlm.nih.gov/pubmed/33575592
http://dx.doi.org/10.1093/nargab/lqaa039

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7671315/
https://www.ncbi.nlm.nih.gov/pubmed/33575592
http://dx.doi.org/10.1093/nargab/lqaa039

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