Identifying candidate drivers of drug response in heterogeneous cancer by mining high throughput genomics data

BACKGROUND: With advances in technologies, huge amounts of multiple types of high-throughput genomics data are available. These data have tremendous potential to identify new and clinically valuable biomarkers to guide the diagnosis, assessment of prognosis, and treatment of complex diseases, such a...

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Detalles Bibliográficos
Autor principal: Nabavi, Sheida
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4986197/
https://www.ncbi.nlm.nih.gov/pubmed/27526849
http://dx.doi.org/10.1186/s12864-016-2942-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4986197/
https://www.ncbi.nlm.nih.gov/pubmed/27526849
http://dx.doi.org/10.1186/s12864-016-2942-5

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