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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
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 |
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