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A computational study identifies HIV progression-related genes using mRMR and shortest path tracing.
Ma, Chengcheng; Dong, Xiao; Li, Rudong; Liu, Lei.
Affiliation
  • Ma C; 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.
PLoS One ; 8(11): e78057, 2013.
Article in En | MEDLINE | ID: mdl-24244287
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: CD4-Positive T-Lymphocytes / HIV Infections / Gene Expression Regulation / HIV-1 / Disease Progression / Gene Expression Profiling / Databases, Nucleic Acid / Models, Biological Type of study: Prognostic_studies Limits: Humans Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2013 Type: Article
Fulltext
Print
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: CD4-Positive T-Lymphocytes / HIV Infections / Gene Expression Regulation / HIV-1 / Disease Progression / Gene Expression Profiling / Databases, Nucleic Acid / Models, Biological Type of study: Prognostic_studies Limits: Humans Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2013 Type: Article