MiRTar2GO: A novel rule-based model learning method for cell line specific microRNA target prediction that integrates Ago2 CLIP-Seq and validated microRNA-target interaction data

Nucleic Acids Research

Volumn 45, Issue 6, 2017, Pages

  Ahadi, Alireza ^a   Sablok, Gaurav ^a   Hutvagner, Gyorgy ^a  

^a UNIVERSITY OF TECHNOLOGY SYDNEY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ARGONAUTE 2 PROTEIN; MICRORNA; ARGONAUTE PROTEIN; EIF2C2 PROTEIN, HUMAN; MESSENGER RNA;

ALGORITHM; ARTICLE; BINDING SITE; CONTROLLED STUDY; DOWN REGULATION; EMBRYO; GENE ONTOLOGY; HUMAN; HUMAN CELL; PREDICTION; PRIORITY JOURNAL; PROTEIN EXPRESSION; PROTEIN RNA BINDING; PROTEIN TARGETING; SIGNAL TRANSDUCTION; BIOLOGICAL MODEL; CELL LINE; CHEMISTRY; COMPUTER SIMULATION; GENE EXPRESSION REGULATION; IMMUNOPRECIPITATION; MACHINE LEARNING; METABOLISM; SEQUENCE ANALYSIS; SOFTWARE; VALIDATION STUDY;

ALGORITHMS; ARGONAUTE PROTEINS; BINDING SITES; CELL LINE; COMPUTER SIMULATION; GENE EXPRESSION REGULATION; HUMANS; IMMUNOPRECIPITATION; MACHINE LEARNING; MICRORNAS; MODELS, GENETIC; RNA, MESSENGER; SEQUENCE ANALYSIS, RNA; SOFTWARE;

EID: 85019836127     PISSN: 03051048     EISSN: 13624962     Source Type: Journal    
DOI: 10.1093/nar/gkw1185     Document Type: Article

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