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Open Access

Peer-reviewed

Research Article

A Computational Study Identifies HIV Progression-Related Genes Using mRMR and Shortest Path Tracing

Chengcheng Ma ,

Contributed equally to this work with: Chengcheng Ma, Xiao Dong, Rudong Li

Affiliations Key Laboratory of Systems Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, P.R. China, University of Chinese Academy of Sciences, Beijing, P.R. China
⨯
Xiao Dong ,

Contributed equally to this work with: Chengcheng Ma, Xiao Dong, Rudong Li

Affiliations Key Laboratory of Systems Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, P.R. China, University of Chinese Academy of Sciences, Beijing, P.R. China, Shanghai Center for Bioinformation Technology, Shanghai, P.R. China
⨯
Rudong Li ,

Contributed equally to this work with: Chengcheng Ma, Xiao Dong, Rudong Li

Affiliations Key Laboratory of Systems Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, P.R. China, University of Chinese Academy of Sciences, Beijing, P.R. China
⨯
Lei Liu

* E-mail: liulei@scbit.org

Affiliation Institutes for Biomedical Sciences, Fudan University, Shanghai, P.R. China
⨯

A Computational Study Identifies HIV Progression-Related Genes Using mRMR and Shortest Path Tracing

Chengcheng Ma,
Xiao Dong,
Rudong Li,
Lei Liu

x

Published: November 11, 2013
https://doi.org/10.1371/journal.pone.0078057

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