Immunophenotype Discovery, Hierarchical Organization, and Template-based Classification of Flow Cytometry Samples
We describe algorithms for discovering immunophenotypes from large collections of flow cytometry (FC) 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, includin...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2016-08-01
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| Series: | Frontiers in Oncology |
| Subjects: | |
| Online Access: | http://journal.frontiersin.org/Journal/10.3389/fonc.2016.00188/full |