Predicting drug–disease associations through layer attention graph convolutional network

DRIMC: an improved drug repositioning approach using Bayesian inductive matrix completion

(2020) Wenjuan Zhang et al.   BIOINFORMATICS

Biomedical data and computational models for drug repositioning: a comprehensive review

(2020) Huimin Luo et al.   BRIEFINGS IN BIOINFORMATICS

Identification of Drug-Disease Associations Using Information of Molecular Structures and Clinical Symptoms via Deep Convolutional Neural Network

(2020) Zhanchao Li et al.   Frontiers in Chemistry

A graph regularized generalized matrix factorization model for predicting links in biomedical bipartite networks

(2020) Zi-Chao Zhang et al.   BIOINFORMATICS

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

(2020) Yifan Deng et al.   BIOINFORMATICS

Drug repositioning through integration of prior knowledge and projections of drugs and diseases

(2019) Ping Xuan et al.   BIOINFORMATICS

deepDR: A network-based deep learning approach to in silico drug repositioning

(2019) Xiangxiang Zeng et al.   BIOINFORMATICS

Drug repositioning based on bounded nuclear norm regularization

(2019) Mengyun Yang et al.   BIOINFORMATICS

Advancing Drug Discovery via Artificial Intelligence

(2019) H.C. Stephen Chan et al.   TRENDS IN PHARMACOLOGICAL SCIENCES

Neural inductive matrix completion with graph convolutional networks for miRNA-disease association prediction

(2019) Jin Li et al.   BIOINFORMATICS

Predicting drug-disease associations with heterogeneous network embedding

(2019) Kai Yang et al.   CHAOS

Overlap matrix completion for predicting drug-associated indications

(2019) Mengyun Yang et al.   PLoS Computational Biology

Modeling polypharmacy side effects with graph convolutional networks

(2018) Marinka Zitnik et al.   BIOINFORMATICS

Computational drug repositioning using low-rank matrix approximation and randomized algorithms

(2018) Huimin Luo et al.   BIOINFORMATICS

Predicting drug-disease associations by using similarity constrained matrix factorization

(2018) Wen Zhang et al.   BMC BIOINFORMATICS

DR2DI: a powerful computational tool for predicting novel drug-disease associations

(2018) Lu Lu et al.   JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN

Drug repositioning based on comprehensive similarity measures and Bi-Random walk algorithm

(2016) Huimin Luo et al.   BIOINFORMATICS

Deep learning for computational biology

(2016) Christof Angermueller et al.   Molecular Systems Biology

The Comparative Toxicogenomics Database: update 2017

(2016) Allan Peter Davis et al.   NUCLEIC ACIDS RESEARCH

Prediction of disease–gene–drug relationships following a differential network analysis

(2016) S Zickenrott et al.   Cell Death & Disease

Drug repositioning by integrating target information through a heterogeneous network model

(2014) Wenhui Wang et al.   BIOINFORMATICS

A Network-Based Classification Model for Deriving Novel Drug-Disease Associations and Assessing Their Molecular Actions

(2014) Min Oh et al.   PLoS One

DrugBank 4.0: shedding new light on drug metabolism

(2013) Vivian Law et al.   NUCLEIC ACIDS RESEARCH

Correction: Prediction of Drug-Target Interactions for Drug Repositioning Only Based on Genomic Expression Similarity

(2013) Kejian Wang et al.   PLoS Computational Biology

PREDICT: a method for inferring novel drug indications with application to personalized medicine

(2011) A. Gottlieb et al.   Molecular Systems Biology

Systematic Drug Repositioning Based on Clinical Side-Effects

(2011) Lun Yang et al.   PLoS One

Inferring the human microRNA functional similarity and functional network based on microRNA-associated diseases

(2010) Dong Wang et al.   BIOINFORMATICS

PROMISCUOUS: a database for network-based drug-repositioning

(2010) J. von Eichborn et al.   NUCLEIC ACIDS RESEARCH

Text mining and manual curation of chemical-gene-disease networks for the Comparative Toxicogenomics Database (CTD)

(2009) Thomas C Wiegers et al.   BMC BIOINFORMATICS