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Unsupervised statistical clustering of environmental shotgun sequences
BACKGROUND: The development of effective environmental shotgun sequence binning methods remains an ongoing challenge in algorithmic analysis of metagenomic data. While previous methods have focused primarily on supervised learning involving extrinsic data, a first-principles statistical model combin...
| Autores principales: | , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2009
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2765972/ https://www.ncbi.nlm.nih.gov/pubmed/19799776 http://dx.doi.org/10.1186/1471-2105-10-316 |