MDF-SA-DDI: predicting drug–drug interaction events based on multi-source drug fusion, multi-source feature fusion and transformer self-attention mechanism

Drug-Drug interaction extraction using a position and similarity fusion-based attention mechanism

(2021) Mohsen Fatehifar et al.   JOURNAL OF BIOMEDICAL INFORMATICS

MUFFIN: multi-scale feature fusion for drug–drug interaction prediction

(2021) Yujie Chen et al.   BIOINFORMATICS

SumGNN: multi-typed drug interaction prediction via efficient knowledge graph summarization

(2021) Yue Yu et al.   BIOINFORMATICS

SSI–DDI: substructure–substructure interactions for drug–drug interaction prediction

(2021) Arnold K Nyamabo et al.   BRIEFINGS IN BIOINFORMATICS

Recognizing binding sites of poorly characterized RNA-binding proteins on circular RNAs using attention Siamese network

(2021) Hehe Wu et al.   BRIEFINGS IN BIOINFORMATICS

TAERT: Triple-Attentional Explainable Recommendation with Temporal Convolutional Network

(2021) Siyuan Guo et al.   INFORMATION SCIENCES

A multimodal deep learning framework for predicting drug-drug interaction events

(2020) Yifan Deng et al.   BIOINFORMATICS

Efficient prediction of drug–drug interaction using deep learning models

(2020) Prashant Kumar Shukla et al.   IET Systems Biology

Predicting drug-drug interactions using multi-modal deep auto-encoders based network embedding and positive-unlabeled learning

(2020) Yang Zhang et al.   METHODS

Classifying Breast Cancer Subtypes Using Deep Neural Networks Based on Multi-Omics Data

(2020) Yuqi Lin et al.   Genes

DPDDI: a deep predictor for drug-drug interactions

(2020) Yue-Hua Feng et al.   BMC BIOINFORMATICS

KMR: knowledge-oriented medicine representation learning for drug–drug interaction and similarity computation

(2019) Ying Shen et al.   Journal of Cheminformatics

Detecting drug communities and predicting comprehensive drug–drug interactions via balance regularized semi-nonnegative matrix factorization

(2019) Jian-Yu Shi et al.   Journal of Cheminformatics

Leveraging genetic interactions for adverse drug-drug interaction prediction

(2019) Sheng Qian et al.   PLoS Computational Biology

Novel deep learning model for more accurate prediction of drug-drug interaction effects

(2019) Geonhee Lee et al.   BMC BIOINFORMATICS

SFLLN: A sparse feature learning ensemble method with linear neighborhood regularization for predicting drug–drug interactions

(2019) Wen Zhang et al.   INFORMATION SCIENCES

ATC-NLSP: Prediction of the Classes of Anatomical Therapeutic Chemicals Using a Network-Based Label Space Partition Method

(2019) Xiangeng Wang et al.   Frontiers in Pharmacology

Drug-Drug Interaction Predicting by Neural Network Using Integrated Similarity

(2019) Narjes Rohani et al.   Scientific Reports

Evaluation of knowledge graph embedding approaches for drug-drug interaction prediction in realistic settings

(2019) Remzi Celebi et al.   BMC BIOINFORMATICS

DDIGIP: predicting drug-drug interactions based on Gaussian interaction profile kernels

(2019) Cheng Yan et al.   BMC BIOINFORMATICS

DDI-PULearn: a positive-unlabeled learning method for large-scale prediction of drug-drug interactions

(2019) Yi Zheng et al.   BMC BIOINFORMATICS

Joint Ranking SVM and Binary Relevance with robust Low-rank learning for multi-label classification

(2019) Guoqiang Wu et al.   NEURAL NETWORKS

Semi-Supervised Learning Algorithm for Identifying High-Priority Drug–Drug Interactions Through Adverse Event Reports

(2019) Ning Liu et al.   IEEE Journal of Biomedical and Health Informatics

Position-aware deep multi-task learning for drug–drug interaction extraction

(2018) Deyu Zhou et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Modeling polypharmacy side effects with graph convolutional networks

(2018) Marinka Zitnik et al.   BIOINFORMATICS

Predicting and understanding comprehensive drug-drug interactions via semi-nonnegative matrix factorization

(2018) Hui Yu et al.   BMC Systems Biology

A meta-learning framework using representation learning to predict drug-drug interaction

(2018) S.S. Deepika et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Predicting potential drug-drug interactions on topological and semantic similarity features using statistical learning

(2018) Andrej Kastrin et al.   PLoS One

Deep learning improves prediction of drug–drug and drug–food interactions

(2018) Jae Yong Ryu et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Focal loss for dense object detection

(2018) Tsung-Yi Lin et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

TMFUF: a triple matrix factorization-based unified framework for predicting comprehensive drug-drug interactions of new drugs

(2018) Jian-Yu Shi et al.   BMC BIOINFORMATICS

Manifold regularized matrix factorization for drug-drug interaction prediction

(2018) Wen Zhang et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Predicting drug–drug interactions through drug structural similarities and interaction networks incorporating pharmacokinetics and pharmacodynamics knowledge

(2017) Takako Takeda et al.   Journal of Cheminformatics

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

(2016) Dhanya Sridhar et al.   BIOINFORMATICS

Drug-Drug Interaction Extraction via Convolutional Neural Networks

(2016) Shengyu Liu et al.   Computational and Mathematical Methods in Medicine

Machine learning-based prediction of drug–drug interactions by integrating drug phenotypic, therapeutic, chemical, and genomic properties

(2014) Feixiong Cheng et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Detection of Drug-Drug Interactions by Modeling Interaction Profile Fingerprints

(2013) Santiago Vilar et al.   PLoS One

Pharmacointeraction Network Models Predict Unknown Drug-Drug Interactions

(2013) Aurel Cami et al.   PLoS One

A Network Inference Method for Large-Scale Unsupervised Identification of Novel Drug-Drug Interactions

(2013) Roger Guimerà et al.   PLoS Computational Biology

Systematic Prediction of Pharmacodynamic Drug-Drug Interactions through Protein-Protein-Interaction Network

(2013) Jialiang Huang et al.   PLoS Computational Biology

Intelligent ZHENG Classification of Hypertension Depending on ML-kNN and Information Fusion

(2012) Guo-Zheng Li et al.   Evidence-based Complementary and Alternative Medicine

INDI: a computational framework for inferring drug interactions and their associated recommendations

(2012) Assaf Gottlieb et al.   Molecular Systems Biology

Network-Based Analysis and Characterization of Adverse Drug–Drug Interactions

(2011) Masataka Takarabe et al.   Journal of Chemical Information and Modeling