Celda: a Bayesian model to perform co-clustering of genes into modules and cells into subpopulations using single-cell RNA-seq data

Single-cell RNA-seq (scRNA-seq) has emerged as a powerful technique to quantify gene expression in individual cells and to elucidate the molecular and cellular building blocks of complex tissues. We developed a novel Bayesian hierarchical model called Cellular Latent Dirichlet Allocation (Celda) to...

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Detalles Bibliográficos
Autores principales: Wang, Zhe, Yang, Shiyi, Koga, Yusuke, Corbett, Sean E, Shea, Conor V, Johnson, W Evan, Yajima, Masanao, Campbell, Joshua D
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Standard Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9469931/
https://www.ncbi.nlm.nih.gov/pubmed/36110899
http://dx.doi.org/10.1093/nargab/lqac066

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9469931/
https://www.ncbi.nlm.nih.gov/pubmed/36110899
http://dx.doi.org/10.1093/nargab/lqac066

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