Bayesian information sharing enhances detection of regulatory associations in rare cell types

MOTIVATION: Recent advances in single-cell RNA-sequencing (scRNA-seq) technologies promise to enable the study of gene regulatory associations at unprecedented resolution in diverse cellular contexts. However, identifying unique regulatory associations observed only in specific cell types or conditi...

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Detalles Bibliográficos
Autores principales: Wu, Alexander P, Peng, Jian, Berger, Bonnie, Cho, Hyunghoon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Regulatory and Functional Genomics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8275330/
https://www.ncbi.nlm.nih.gov/pubmed/34252956
http://dx.doi.org/10.1093/bioinformatics/btab269

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8275330/
https://www.ncbi.nlm.nih.gov/pubmed/34252956
http://dx.doi.org/10.1093/bioinformatics/btab269

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