C^3:Consensus Cancer Driver Gene Caller

作     者：Chen-Yu Zhu Chi Zhou Yun-Qin Chen Ai-Zong Shen Zong-Ming Guo Zhao-Yi Yang Xiang-Yun Ye Shen Qu Jia Wei Qi Liu 

作者机构：Department of Endocrinology&MetabolismShanghai Tenth People’s HospitalBioinformatics DepartmentSchool of Life Sciences and TechnologyTongji UniversityShanghai 200092China Department of OphthalmologyNinghai First HospitalNinghai 315600China R&D InformationInnovation Center ChinaAstraZenecaShanghai 201203China Shanghai Chest HospitalShanghai Jiaotong UniversityShanghai 200240China Department of PharmacyThe First Affiliated Hospital of University of Science and Technology of ChinaHefei 230036China 

出 版 物：《Genomics, Proteomics & Bioinformatics》 (基因组蛋白质组与生物信息学报（英文版）)

年 卷 期：2019年第17卷第3期

页      面：311-318页

核心收录：

学科分类：1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学] 

基　　金：supported by the National Major Research and Innovation Program of China(Grant Nos.2017YFC0908500and 2016YFC1303205) National Natural Science Foundation of China(Grant No.61572361) Shanghai Rising-Star Program(Grant No.16QA1403900) Shanghai Natural Science Foundation Program(Grant No.17ZR1449400) Fundamental Research Funds for the Central Universities(Grant No.1501219106),China 

主　　题：Somatic mutation Cancer driver genes Consensus Data integration Web server 

摘      要：Next-generation sequencing has allowed identification of millions of somatic mutations in human cancer cells.A key challenge in interpreting cancer genomes is to distinguish drivers of cancer development among available genetic *** address this issue,we present the first webbased application,consensus cancer driver gene caller(C^3),to identify the consensus driver genes using six different complementary strategies,i.e.,frequency-based,machine learning-based,functional bias-based,clustering-based,statistics model-based,and network-based *** application allows users to specify customized operations when calling driver genes,and provides solid statistical evaluations and interpretable visualizations on the integration results.C^3 is implemented in Python and is freely available for public use at http://***/c3.