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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...
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| Publicado no: | Front Oncol |
|---|---|
| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5005935/ https://ncbi.nlm.nih.gov/pubmed/27630823 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fonc.2016.00188 |
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