A novel clustering approach for biological data using a new distance based on Gene Ontology

When applying clustering algorithms on biological data the information about biological processes is not usually present in an explicit way, although this knowledge is later used by biologists to validate the clusters and the relations found among data. This work presents a new distance measure for...

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Detalles Bibliográficos
Autores principales: Leale, Guillermo, Milone, Diego H., Bayá, Ariel E., Granitto, Pablo Miguel, Stegmayer, Georgina
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2013
Materias:
Ciencias Informáticas
biological data
clustering algorithm
measures
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/76213
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata

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