CellBIC: bimodality-based top-down clustering of single-cell RNA sequencing data reveals hierarchical structure of the cell type

Single-cell RNA sequencing (scRNA-seq) is a powerful tool to study heterogeneity and dynamic changes in cell populations. Clustering scRNA-seq is essential in identifying new cell types and studying their characteristics. We develop CellBIC (single Cell BImodal Clustering) to cluster scRNA-seq data...

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Detalles Bibliográficos
Autores principales: Kim, Junil, Stanescu, Diana E, Won, Kyoung Jae
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Methods Online
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6265269/
https://www.ncbi.nlm.nih.gov/pubmed/30102368
http://dx.doi.org/10.1093/nar/gky698

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6265269/
https://www.ncbi.nlm.nih.gov/pubmed/30102368
http://dx.doi.org/10.1093/nar/gky698

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