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Incorporation of biological knowledge into distance for clustering genes

In this paper we propose a data based algorithm to marry existing biological knowledge (e.g., functional annotations of genes) with experimental data (gene expression profiles) in creating an overall dissimilarity that can be used with any clustering algorithm that uses a general dissimilarity matri...

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Detalles Bibliográficos
Autores principales: Boratyn, Grzegorz M, Datta, Susmita, Datta, Somnath
Formato: Texto
Lenguaje:English
Publicado: Biomedical Informatics Publishing Group 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1896054/
https://www.ncbi.nlm.nih.gov/pubmed/17597929