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Incorporating networks in a probabilistic graphical model to find drivers for complex human diseases
Discovering genetic mechanisms driving complex diseases is a hard problem. Existing methods often lack power to identify the set of responsible genes. Protein-protein interaction networks have been shown to boost power when detecting gene-disease associations. We introduce a Bayesian framework, Conf...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2017
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5638204/ https://www.ncbi.nlm.nih.gov/pubmed/29023450 http://dx.doi.org/10.1371/journal.pcbi.1005580 |