A probabilistic approach to explore human miRNA targetome by integrating miRNA-overexpression data and sequence information

Bioinformatics

Volumn 30, Issue 5, 2014, Pages 621-628

  Li, Yue ^a,b   Goldenberg, Anna ^a,c   Wong, Ka Chun ^a,b   Zhang, Zhaolei ^a,b  

^a UNIVERSITY OF TORONTO   (Canada)

^b UNIVERSITY OF TORONTO   (Canada)

^c HOSPITAL FOR SICK CHILDREN RESEARCH INSTITUTE   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

MESSENGER RNA; MICRORNA; PROTEIN;

ARTICLE; BAYES THEOREM; CHEMISTRY; DOWN REGULATION; GENE EXPRESSION PROFILING; GENE ONTOLOGY; GENE REGULATORY NETWORK; GENETICS; HUMAN; METABOLISM; METHODOLOGY; ONCOGENE; PROBABILITY; SEQUENCE ANALYSIS;

BAYES THEOREM; DOWN-REGULATION; GENE EXPRESSION PROFILING; GENE ONTOLOGY; GENE REGULATORY NETWORKS; HUMANS; MICRORNAS; ONCOGENES; PROBABILITY; PROTEINS; RNA, MESSENGER; SEQUENCE ANALYSIS, RNA;

EID: 84897692557     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btt599     Document Type: Article

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