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...

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Detalhes bibliográficos
Publicado no:Front Genet
Main Authors: Zhu, Yuan, Zhang, De-Xin, Zhang, Xiao-Fei, Yi, Ming, Ou-Yang, Le, Wu, Mengyun
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2020
Assuntos:
Genetics
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7673820/
https://ncbi.nlm.nih.gov/pubmed/33329710
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fgene.2020.572242
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