Immunophenotype Discovery, Hierarchical Organization, and Template-Based Classification of Flow Cytometry Samples

We describe algorithms for discovering immunophenotypes from large collections of flow cytometry samples and using them to organize the samples into a hierarchy based on phenotypic similarity. The hierarchical organization is helpful for effective and robust cytometry data mining, including the crea...

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Detalles Bibliográficos
Autores principales: Azad, Ariful, Rajwa, Bartek, Pothen, Alex
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2016
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5005935/
https://www.ncbi.nlm.nih.gov/pubmed/27630823
http://dx.doi.org/10.3389/fonc.2016.00188

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5005935/
https://www.ncbi.nlm.nih.gov/pubmed/27630823
http://dx.doi.org/10.3389/fonc.2016.00188

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