Plant microRNA-target interaction identification model based on the integration of prediction tools and support vector machine

PLoS ONE

Volumn 9, Issue 7, 2014, Pages

  Meng, Jun ^a   Shi, Lin ^a   Luan, Yushi ^a  

^a DALIAN UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

MICRORNA; PLANT RNA;

ARABIDOPSIS THALIANA; ARTICLE; CALCULATION; CONTROLLED STUDY; GENE TARGETING; GRAPE; HIGH THROUGHPUT SEQUENCING; MACHINE LEARNING; MATHEMATICAL ANALYSIS; NONHUMAN; ONLINE SYSTEM; PLANT GENE; PREDICTION; RECEIVER OPERATING CHARACTERISTIC; RICE; SUPPORT VECTOR MACHINE; VALIDITY; ALGORITHM; ARABIDOPSIS; BIOLOGICAL MODEL; GENE EXPRESSION REGULATION; GENETICS; ORYZA; VITIS;

ALGORITHMS; ARABIDOPSIS; GENE EXPRESSION REGULATION, PLANT; MICRORNAS; MODELS, GENETIC; ORYZA; RNA, PLANT; SUPPORT VECTOR MACHINE; VITIS;

EID: 84904643557     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0103181     Document Type: Article

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