A sparse Bayesian factor model for the construction of gene co-expression networks from single-cell RNA sequencing count data

BACKGROUND: Gene co-expression networks (GCNs) are powerful tools that enable biologists to examine associations between genes during different biological processes. With the advancement of new technologies, such as single-cell RNA sequencing (scRNA-seq), there is a need for developing novel network...

Descripción completa

Detalles Bibliográficos
Autores principales: Sekula, Michael, Gaskins, Jeremy, Datta, Susmita
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7437941/
https://www.ncbi.nlm.nih.gov/pubmed/32811424
http://dx.doi.org/10.1186/s12859-020-03707-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7437941/
https://www.ncbi.nlm.nih.gov/pubmed/32811424
http://dx.doi.org/10.1186/s12859-020-03707-y

Ejemplares similares