Comprehensive modeling of microRNA targets predicts functional non-conserved and non-canonical sites

Genome Biology

Volumn 11, Issue 8, 2010, Pages

  Betel, Doron ^a   Koppal, Anjali ^b   Agius, Phaedra ^a   Sander, Chris ^a   Leslie, Christina ^a  

^a MEMORIAL SLOAN KETTERING CANCER CENTER   (United States)

^b Columbia University ^*  (United States)

Author keywords

[No Author keywords available]

Indexed keywords

MESSENGER RNA; MICRORNA; PROTEIN;

3' UNTRANSLATED REGION; ACCURACY; ALGORITHM; ARTICLE; COMPUTER PREDICTION; CONTROLLED STUDY; DOWN REGULATION; GENE EXPRESSION; GENE IDENTIFICATION; INTERMETHOD COMPARISON; PROTEIN EXPRESSION; SUPPORT VECTOR MACHINE; ARTIFICIAL INTELLIGENCE; BINDING SITE; CHEMICAL STRUCTURE; EVALUATION; GENETICS; REGRESSION ANALYSIS;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BINDING SITES; DOWN-REGULATION; MICRORNAS; MODELS, MOLECULAR; PROTEINS; REGRESSION ANALYSIS; RNA, MESSENGER;

EID: 77955963884     PISSN: 14747596     EISSN: 1474760X     Source Type: Journal    
DOI: 10.1186/gb-2010-11-8-r90     Document Type: Article

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