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A computational method for clinically relevant cancer stratification and driver mutation module discovery using personal genomics profiles
BACKGROUND: Personalized genomics instability, e.g., somatic mutations, is believed to contribute to the heterogeneous drug responses in patient cohorts. However, it is difficult to discover personalized driver mutations that are predictive of drug sensitivity owing to diverse and complex mutations...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2015
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4474541/ https://www.ncbi.nlm.nih.gov/pubmed/26099165 http://dx.doi.org/10.1186/1471-2164-16-S7-S6 |