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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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Detalhes bibliográficos
Main Authors: 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: Artigo
Idioma:Inglês
Publicado em: Public Library of Science 2014
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4038530/
https://ncbi.nlm.nih.gov/pubmed/24874471
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0098293
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