Identifying anti-cancer drug response related genes using an integrative analysis of transcriptomic and genomic variations with cell line-based drug perturbations

BACKGROUND: Clinical responses to anti-cancer therapies often only benefit a defined subset of patients. Predicting the best treatment strategy hinges on our ability to effectively translate genomic data into actionable information on drug responses. RESULTS: To achieve this goal, we compiled a comp...

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Detalles Bibliográficos
Autores principales: Sun, Yi, Zhang, Wei, Chen, Yunqin, Ma, Qin, Wei, Jia, Liu, Qi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2016
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4891048/
https://www.ncbi.nlm.nih.gov/pubmed/26824188
http://dx.doi.org/10.18632/oncotarget.7012

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4891048/
https://www.ncbi.nlm.nih.gov/pubmed/26824188
http://dx.doi.org/10.18632/oncotarget.7012

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