Clique-Finding for Heterogeneity and Multidimensionality in Biomarker Epidemiology Research: The CHAMBER Algorithm

BACKGROUND: Commonly-occurring disease etiology may involve complex combinations of genes and exposures resulting in etiologic heterogeneity. We present a computational algorithm that employs clique-finding for heterogeneity and multidimensionality in biomedical and epidemiological research (the “CH...

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Detalles Bibliográficos
Autores principales: Mushlin, Richard A., Gallagher, Stephen, Kershenbaum, Aaron, Rebbeck, Timothy R.
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2009
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2653643/
https://www.ncbi.nlm.nih.gov/pubmed/19287484
http://dx.doi.org/10.1371/journal.pone.0004862

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2653643/
https://www.ncbi.nlm.nih.gov/pubmed/19287484
http://dx.doi.org/10.1371/journal.pone.0004862

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