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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...
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| Hauptverfasser: | , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
BioMed Central
2009
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2765972/ https://ncbi.nlm.nih.gov/pubmed/19799776 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-10-316 |
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