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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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| Pubblicato in: | BMC Med Genomics |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
BioMed Central
2016
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4980779/ https://ncbi.nlm.nih.gov/pubmed/27510222 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12920-016-0201-x |
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