MEMO: multi-experiment mixture model analysis of censored data

Motivation: The statistical analysis of single-cell data is a challenge in cell biological studies. Tailored statistical models and computational methods are required to resolve the subpopulation structure, i.e. to correctly identify and characterize subpopulations. These approaches also support the...

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Detalles Bibliográficos
Autores principales: Geissen, Eva-Maria, Hasenauer, Jan, Heinrich, Stephanie, Hauf, Silke, Theis, Fabian J., Radde, Nicole E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Originals Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4978932/
https://www.ncbi.nlm.nih.gov/pubmed/27153627
http://dx.doi.org/10.1093/bioinformatics/btw190

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4978932/
https://www.ncbi.nlm.nih.gov/pubmed/27153627
http://dx.doi.org/10.1093/bioinformatics/btw190

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