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HyperModules: identifying clinically and phenotypically significant network modules with disease mutations for biomarker discovery
Summary: Correlating disease mutations with clinical and phenotypic information such as drug response or patient survival is an important goal of personalized cancer genomics and a first step in biomarker discovery. HyperModules is a network search algorithm that finds frequently mutated gene module...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2014
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4103591/ https://www.ncbi.nlm.nih.gov/pubmed/24713437 http://dx.doi.org/10.1093/bioinformatics/btu172 |