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A modified hyperplane clustering algorithm allows for efficient and accurate clustering of extremely large datasets
Motivation: As the number of publically available microarray experiments increases, the ability to analyze extremely large datasets across multiple experiments becomes critical. There is a requirement to develop algorithms which are fast and can cluster extremely large datasets without affecting the...
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| Autors principals: | , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Oxford University Press
2009
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2672630/ https://ncbi.nlm.nih.gov/pubmed/19261720 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btp123 |
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