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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2016
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| Materias: | |
| 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 |