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BayesFlow: latent modeling of flow cytometry cell populations
BACKGROUND: Flow cytometry is a widespread single-cell measurement technology with a multitude of clinical and research applications. Interpretation of flow cytometry data is hard; the instrumentation is delicate and can not render absolute measurements, hence samples can only be interpreted in rela...
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| Publicado no: | BMC Bioinformatics |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4709953/ https://ncbi.nlm.nih.gov/pubmed/26755197 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-015-0862-z |
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