Identification of Druggable Cancer Driver Genes Amplified across TCGA Datasets

The Cancer Genome Atlas (TCGA) projects have advanced our understanding of the driver mutations, genetic backgrounds, and key pathways activated across cancer types. Analysis of TCGA datasets have mostly focused on somatic mutations and translocations, with less emphasis placed on gene amplification...

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Detalles Bibliográficos
Autores principales: Chen, Ying, McGee, Jeremy, Chen, Xianming, Doman, Thompson N., Gong, Xueqian, Zhang, Youyan, Hamm, Nicole, Ma, Xiwen, Higgs, Richard E., Bhagwat, Shripad V., Buchanan, Sean, Peng, Sheng-Bin, Staschke, Kirk A., Yadav, Vipin, Yue, Yong, Kouros-Mehr, Hosein
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4038530/
https://www.ncbi.nlm.nih.gov/pubmed/24874471
http://dx.doi.org/10.1371/journal.pone.0098293

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4038530/
https://www.ncbi.nlm.nih.gov/pubmed/24874471
http://dx.doi.org/10.1371/journal.pone.0098293

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