Predicting potential drug-drug interactions by integrating chemical, biological, phenotypic and network data

BMC Bioinformatics

Volumn 18, Issue 1, 2017, Pages

  Zhang, Wen ^a   Chen, Yanlin ^a   Liu, Feng ^a   Luo, Fei ^a   Tian, Gang ^a   Li, Xiaohong ^a  

^a WUHAN UNIVERSITY   (China)

Author keywords

Drug drug interaction; Ensemble learning; Missing link prediction; Random walk

Indexed keywords

DRUG PRODUCTS; FORECASTING; PERTURBATION TECHNIQUES; RANDOM PROCESSES;

ACCURATE PREDICTION; CLASSIFIER ENSEMBLES; DRUG-DRUG INTERACTIONS; ENSEMBLE LEARNING; INFORMATION SOURCES; LINK PREDICTION; RANDOM WALK; STATE-OF-THE-ART METHODS;

DRUG INTERACTIONS;

ADVERSE DRUG REACTION; BIOLOGY; DRUG INTERACTION; FACTUAL DATABASE; HUMAN; PROCEDURES; STATISTICAL MODEL; THEORETICAL MODEL;

COMPUTATIONAL BIOLOGY; DATABASES, FACTUAL; DRUG INTERACTIONS; DRUG-RELATED SIDE EFFECTS AND ADVERSE REACTIONS; HUMANS; LOGISTIC MODELS; MODELS, THEORETICAL;

EID: 85008199754     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/s12859-016-1415-9     Document Type: Article

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