Identification of druggable cancer driver genes amplified across TCGA datasets.

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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Bibliographic Details
Main Authors: Ying Chen, Jeremy McGee, Xianming Chen, Thompson N Doman, Xueqian Gong, Youyan Zhang, Nicole Hamm, Xiwen Ma, Richard E Higgs, Shripad V Bhagwat, Sean Buchanan, Sheng-Bin Peng, Kirk A Staschke, Vipin Yadav, Yong Yue, Hosein Kouros-Mehr
Format: article
Language:EN
Published: Public Library of Science (PLoS) 2014
Subjects:
Medicine
R
Science
Q
Online Access:https://doaj.org/article/a29e5a4806f34d02a21d59875c6c8e59
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https://doaj.org/article/a29e5a4806f34d02a21d59875c6c8e59

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