Scalable optimal Bayesian classification of single-cell trajectories under regulatory model uncertainty

BACKGROUND: Single-cell gene expression measurements offer opportunities in deriving mechanistic understanding of complex diseases, including cancer. However, due to the complex regulatory machinery of the cell, gene regulatory network (GRN) model inference based on such data still manifests signifi...

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Detalles Bibliográficos
Autores principales: Hajiramezanali, Ehsan, Imani, Mahdi, Braga-Neto, Ulisses, Qian, Xiaoning, Dougherty, Edward R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6561847/
https://www.ncbi.nlm.nih.gov/pubmed/31189480
http://dx.doi.org/10.1186/s12864-019-5720-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6561847/
https://www.ncbi.nlm.nih.gov/pubmed/31189480
http://dx.doi.org/10.1186/s12864-019-5720-3

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