Single and multi-subject clustering of flow cytometry data for cell-type identification and anomaly detection

BACKGROUND: Measurement of various markers of single cells using flow cytometry has several biological applications. These applications include improving our understanding of behavior of cellular systems, identifying rare cell populations and personalized medication. A common critical issue in the e...

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Detalles Bibliográficos
Autores principales: Pouyan, Maziyar Baran, Jindal, Vasu, Birjandtalab, Javad, Nourani, Mehrdad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4980779/
https://www.ncbi.nlm.nih.gov/pubmed/27510222
http://dx.doi.org/10.1186/s12920-016-0201-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4980779/
https://www.ncbi.nlm.nih.gov/pubmed/27510222
http://dx.doi.org/10.1186/s12920-016-0201-x

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