Extraction of drug–drug interaction using neural embedding

A LSTM based framework for handling multiclass imbalance in DGA botnet detection

(2018) Duc Tran et al.   NEUROCOMPUTING

Large-scale structural and textual similarity-based mining of knowledge graph to predict drug–drug interactions

(2017) Ibrahim Abdelaziz et al.   Journal of Web Semantics

A probabilistic approach for collective similarity-based drug–drug interaction prediction

(2016) Dhanya Sridhar et al.   BIOINFORMATICS

A graph kernel based on context vectors for extracting drug–drug interactions

(2016) Wei Zheng et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Similarity-based modeling in large-scale prediction of drug-drug interactions

(2014) Santiago Vilar et al.   Nature Protocols

Inferring disease association using clinical factors in a combinatorial manner and their use in drug repositioning

(2013) Jinmyung Jung et al.   BIOINFORMATICS

Rule extraction in gene–disease relationship discovery

(2012) Wen-Juan Hou et al.   GENE

A linguistic rule-based approach to extract drug-drug interactions from pharmacological documents

(2011) Isabel Segura-Bedmar et al.   BMC BIOINFORMATICS

Automatic extraction of semantic relations between medical entities: a rule based approach

(2011) Asma Ben Abacha et al.   Journal of Biomedical Semantics

Bayesian rule learning for biomedical data mining

(2010) Vanathi Gopalakrishnan et al.   BIOINFORMATICS

New Challenges for Biological Text-Mining in the Next Decade

(2010) Hong-Jie Dai et al.   JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY