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...

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Detalles Bibliográficos
Autores principales: Wang, Lin, Li, Fuhai, Sheng, Jianting, Wong, Stephen TC
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Research
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

Internet

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

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