Inferring Nonlinear Gene Regulatory Networks from Gene Expression Data Based on Distance Correlation

Open Access

Peer-reviewed

Research Article

Xiaobo Guo,

Affiliations Department of Statistical Science, School of Mathematics & Computational Science, Sun Yat-Sen University, Guangzhou, China, Southern China Research Center of Statistical Science, Sun Yat-Sen University, Guangzhou, China, State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangzhou, China
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Ye Zhang,

Affiliations Department of Statistical Science, School of Mathematics & Computational Science, Sun Yat-Sen University, Guangzhou, China, Southern China Research Center of Statistical Science, Sun Yat-Sen University, Guangzhou, China
⨯
Wenhao Hu,

Affiliation Department of Statistical Science, School of Mathematics & Computational Science, Sun Yat-Sen University, Guangzhou, China
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Haizhu Tan,

Affiliations Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China, Department of Physics and Informatics, Shantou University Medical College, Shantou, China
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Xueqin Wang

* E-mail: wangxq88@mail.sysu.edu.cn

Affiliations Department of Statistical Science, School of Mathematics & Computational Science, Sun Yat-Sen University, Guangzhou, China, Southern China Research Center of Statistical Science, Sun Yat-Sen University, Guangzhou, China, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China, State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangzhou, China
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Algorithms
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Gene expression
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Yeast
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Simulation and modeling
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Gene regulation
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Probability density
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Systems biology
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Gene regulatory networks
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