Identification of drug-side effect association via restricted Boltzmann machines with penalized term

Integrating specific and common topologies of heterogeneous graphs and pairwise attributes for drug-related side effect prediction

(2022) Ping Xuan et al.   BRIEFINGS IN BIOINFORMATICS

A Survey on Adversarial Recommender Systems

(2021) Yashar Deldjoo et al.   ACM COMPUTING SURVEYS

A novel graph attention model for predicting frequencies of drug–side effects from multi-view data

(2021) Haochen Zhao et al.   BRIEFINGS IN BIOINFORMATICS

A similarity-based deep learning approach for determining the frequencies of drug side effects

(2021) Haochen Zhao et al.   BRIEFINGS IN BIOINFORMATICS

DSGAT: predicting frequencies of drug side effects by graph attention networks

(2021) Xianyu Xu et al.   BRIEFINGS IN BIOINFORMATICS

Identification of drug–target interactions via multiple kernel-based triple collaborative matrix factorization

(2021) Yijie Ding et al.   BRIEFINGS IN BIOINFORMATICS

A Novel Triple Matrix Factorization Method for Detecting Drug-Side Effect Association Based on Kernel Target Alignment

(2020) Xiaoyi Guo et al.   Biomed Research International

Identification of Drug–Target Interactions via Dual Laplacian Regularized Least Squares with Multiple Kernel Fusion

(2020) Yijie Ding et al.   KNOWLEDGE-BASED SYSTEMS

Comparative Toxicogenomics Database (CTD): update 2021

(2020) Allan Peter Davis et al.   NUCLEIC ACIDS RESEARCH

Predicting the frequencies of drug side effects

(2020) Diego Galeano et al.   Nature Communications

The support of genetic evidence for cardiovascular risk induced by antineoplastic drugs

(2020) Hui Cui et al.   Science Advances

Identification of human microRNA-disease association via hypergraph embedded bipartite local model

(2020) Yijie Ding et al.   COMPUTATIONAL BIOLOGY AND CHEMISTRY

Identification of drug–target interactions via fuzzy bipartite local model

(2019) Yijie Ding et al.   NEURAL COMPUTING & APPLICATIONS

HUME: Large-scale Detection of Causal Genetic Factors of Adverse Drug Reactions

(2018) Mehrdad Mansouri et al.   BIOINFORMATICS

Identification of drug-side effect association via multiple information integration with centered kernel alignment

(2018) Yijie Ding et al.   NEUROCOMPUTING

Identification of Drug-Side Effect Association via Semisupervised Model and Multiple Kernel Learning

(2018) Yijie Ding et al.   IEEE Journal of Biomedical and Health Informatics

Drug-Target Interaction Prediction with Graph Regularized Matrix Factorization

(2017) Ali Ezzat et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

Identification of drug-target interactions via multiple information integration

(2017) Yijie Ding et al.   INFORMATION SCIENCES

Drug-Target Interaction Prediction through Label Propagation with Linear Neighborhood Information

(2017) Wen Zhang et al.   MOLECULES

A network integration approach for drug-target interaction prediction and computational drug repositioning from heterogeneous information

(2017) Yunan Luo et al.   Nature Communications

Predicting protein-protein interactions via multivariate mutual information of protein sequences

(2016) Yijie Ding et al.   BMC BIOINFORMATICS

Predicting potential side effects of drugs by recommender methods and ensemble learning

(2016) Wen Zhang et al.   NEUROCOMPUTING

Metabolic Network Prediction of Drug Side Effects

(2016) Itay Shaked et al.   Cell Systems

Rapid Assessment of Adverse Drug Reactions by Statistical Solution of Gene Association Network

(2015) Yan-Ping Xiang et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

The SIDER database of drugs and side effects

(2015) Michael Kuhn et al.   NUCLEIC ACIDS RESEARCH

Predicting drug-target interactions using restricted Boltzmann machines

(2013) Yuhao Wang et al.   BIOINFORMATICS

Adverse Drug Events: Database Construction and in Silico Prediction

(2013) Feixiong Cheng et al.   Journal of Chemical Information and Modeling

Drug–target interaction prediction by learning from local information and neighbors

(2012) Jian-Ping Mei et al.   BIOINFORMATICS

Large-scale prediction of adverse drug reactions using chemical, biological, and phenotypic properties of drugs

(2012) Mei Liu et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Data-Driven Prediction of Drug Effects and Interactions

(2012) N. P. Tatonetti et al.   Science Translational Medicine

Gaussian interaction profile kernels for predicting drug–target interaction

(2011) Twan van Laarhoven et al.   BIOINFORMATICS

Predicting drug side-effect profiles: a chemical fragment-based approach

(2011) Edouard Pauwels et al.   BMC BIOINFORMATICS