SAME-clustering: Single-cell Aggregated Clustering via Mixture Model Ensemble

Clustering is an essential step in the analysis of single cell RNA-seq (scRNA-seq) data to shed light on tissue complexity including the number of cell types and transcriptomic signatures of each cell type. Due to its importance, novel methods have been developed recently for this purpose. However,...

Descripción completa

Detalles Bibliográficos
Autores principales: Huh, Ruth, Yang, Yuchen, Jiang, Yuchao, Shen, Yin, Li, Yun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Computational Biology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6943136/
https://www.ncbi.nlm.nih.gov/pubmed/31777938
http://dx.doi.org/10.1093/nar/gkz959

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6943136/
https://www.ncbi.nlm.nih.gov/pubmed/31777938
http://dx.doi.org/10.1093/nar/gkz959

Ejemplares similares