Data reduction for spectral clustering to analyze high throughput flow cytometry data
<p>Abstract</p> <p>Background</p> <p>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...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BMC
2010-07-01
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| coleção: | BMC Bioinformatics |
| Acesso em linha: | http://www.biomedcentral.com/1471-2105/11/403 |
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