Integration of multiple genomic and phenotype data to infer novel miRNA-disease associations

PLoS ONE

Volumn 11, Issue 2, 2016, Pages

  Shi, Hongbo ^a   Zhang, Guangde ^a   Zhou, Meng ^a   Cheng, Liang ^a   Yang, Haixiu ^a   Wang, Jing ^a   Sun, Jie ^a   Wang, Zhenzhen ^a  

^a HARBIN MEDICAL UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

MICRORNA;

ACCESS TO INFORMATION; AREA UNDER THE CURVE; ARTICLE; BIOINFORMATICS; COMPUTER PROGRAM; DATA MINING; DISEASE ASSOCIATION; GENE ONTOLOGY; GENE TARGETING; GENETIC ALGORITHM; GENETIC ANALYSIS; GENETIC DATABASE; GLIOBLASTOMA; HEART INFARCTION; HUMAN; INFORMATION PROCESSING; INSULIN DEPENDENT DIABETES MELLITUS; INTERNET; MATHEMATICAL ANALYSIS; MOLECULAR MECHANICS; PHENOTYPE; PROTEIN PROTEIN INTERACTION; RECEIVER OPERATING CHARACTERISTIC; RELIABILITY; ALGORITHM; BIOLOGICAL MODEL; BIOLOGY; GENE REGULATORY NETWORK; GENETIC PREDISPOSITION; GENETICS; HUMAN GENOME; PROCEDURES; RANDOMIZATION; REPRODUCIBILITY;

ALGORITHMS; COMPUTATIONAL BIOLOGY; GENE ONTOLOGY; GENE REGULATORY NETWORKS; GENETIC PREDISPOSITION TO DISEASE; GENOME, HUMAN; HUMANS; MICRORNAS; MODELS, GENETIC; PHENOTYPE; PROTEIN INTERACTION MAPS; RANDOM ALLOCATION; REPRODUCIBILITY OF RESULTS; ROC CURVE;

EID: 84959232536     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0148521     Document Type: Article

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