EC-PGMGR: Ensemble Clustering Based on Probability Graphical Model With Graph Regularization for Single-Cell RNA-seq Data

Advances in technology have made it convenient to obtain a large amount of single cell RNA sequencing (scRNA-seq) data. Since that clustering is a very important step in identifying or defining cellular phenotypes, many clustering approaches have been developed recently for these applications. The g...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhu, Yuan, Zhang, De-Xin, Zhang, Xiao-Fei, Yi, Ming, Ou-Yang, Le, Wu, Mengyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7673820/
https://www.ncbi.nlm.nih.gov/pubmed/33329710
http://dx.doi.org/10.3389/fgene.2020.572242

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7673820/
https://www.ncbi.nlm.nih.gov/pubmed/33329710
http://dx.doi.org/10.3389/fgene.2020.572242

Ejemplares similares