BayesFlow: latent modeling of flow cytometry cell populations

BACKGROUND: Flow cytometry is a widespread single-cell measurement technology with a multitude of clinical and research applications. Interpretation of flow cytometry data is hard; the instrumentation is delicate and can not render absolute measurements, hence samples can only be interpreted in rela...

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Detalles Bibliográficos
Autores principales: Johnsson, Kerstin, Wallin, Jonas, Fontes, Magnus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4709953/
https://www.ncbi.nlm.nih.gov/pubmed/26755197
http://dx.doi.org/10.1186/s12859-015-0862-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4709953/
https://www.ncbi.nlm.nih.gov/pubmed/26755197
http://dx.doi.org/10.1186/s12859-015-0862-z

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