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DAFi: A Directed Recursive Data Filtering and Clustering Approach for Improving and Interpreting Data Clustering Identification of Cell Populations from Polychromatic Flow Cytometry Data
Computational methods for identification of cell populations from polychromatic flow cytometry data are changing the paradigm of cytometry bioinformatics. Data clustering is the most common computational approach to unsupervised identification of cell populations from multidimensional cytometry data...
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| Publicado no: | Cytometry A |
|---|---|
| Main Authors: | , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6030426/ https://ncbi.nlm.nih.gov/pubmed/29665244 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/cyto.a.23371 |
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