iSubgraph: Integrative Genomics for Subgroup Discovery in Hepatocellular Carcinoma Using Graph Mining and Mixture Models

The high tumor heterogeneity makes it very challenging to identify key tumorigenic pathways as therapeutic targets. The integration of multiple omics data is a promising approach to identify driving regulatory networks in patient subgroups. Here, we propose a novel conceptual framework to discover p...

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Detalles Bibliográficos
Autores principales: Ozdemir, Bahadir, Abd-Almageed, Wael, Roessler, Stephanie, Wang, Xin Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3817163/
https://www.ncbi.nlm.nih.gov/pubmed/24223834
http://dx.doi.org/10.1371/journal.pone.0078624

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3817163/
https://www.ncbi.nlm.nih.gov/pubmed/24223834
http://dx.doi.org/10.1371/journal.pone.0078624

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