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Data reduction for spectral clustering to analyze high throughput flow cytometry data
BACKGROUND: Recent biological discoveries have shown that clustering large datasets is essential for better understanding biology in many areas. Spectral clustering in particular has proven to be a powerful tool amenable for many applications. However, it cannot be directly applied to large datasets...
| Autores principales: | , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2010
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2923634/ https://www.ncbi.nlm.nih.gov/pubmed/20667133 http://dx.doi.org/10.1186/1471-2105-11-403 |