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Misty Mountain clustering: application to fast unsupervised flow cytometry gating
BACKGROUND: There are many important clustering questions in computational biology for which no satisfactory method exists. Automated clustering algorithms, when applied to large, multidimensional datasets, such as flow cytometry data, prove unsatisfactory in terms of speed, problems with local mini...
| Autores principales: | , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2010
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2967560/ https://www.ncbi.nlm.nih.gov/pubmed/20932336 http://dx.doi.org/10.1186/1471-2105-11-502 |