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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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Detalles Bibliográficos
Autores principales: Sharma, Ashok, Podolsky, Robert, Zhao, Jieping, McIndoe, Richard A.
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2672630/
https://www.ncbi.nlm.nih.gov/pubmed/19261720
http://dx.doi.org/10.1093/bioinformatics/btp123