Bayesian Hierarchical Models for Protein Networks in Single-Cell Mass Cytometry

We propose a class of hierarchical models to investigate the protein functional network of cellular markers. We consider a novel data set from single-cell proteomics. The data are generated from single-cell mass cytometry experiments, in which protein expression is measured within an individual cell...

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Detalles Bibliográficos
Autores principales: Mitra, Riten, Müller, Peter, Qiu, Peng, Ji, Yuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Libertas Academica 2014
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4266200/
https://www.ncbi.nlm.nih.gov/pubmed/25574129
http://dx.doi.org/10.4137/CIN.S13984

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4266200/
https://www.ncbi.nlm.nih.gov/pubmed/25574129
http://dx.doi.org/10.4137/CIN.S13984

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