HINGRL: predicting drug–disease associations with graph representation learning on heterogeneous information networks

A survey on computational models for predicting protein–protein interactions

(2021) Lun Hu et al.   BRIEFINGS IN BIOINFORMATICS

MDA-GCNFTG: identifying miRNA-disease associations based on graph convolutional networks via graph sampling through the feature and topology graph

(2021) Yanyi Chu et al.   BRIEFINGS IN BIOINFORMATICS

HLA-DQB1 6672G>C (rs113332494) is associated with clozapine-induced neutropenia and agranulocytosis in individuals of European ancestry

(2021) Bettina Konte et al.   Translational Psychiatry

DeepR2cov: deep representation learning on heterogeneous drug networks to discover anti-inflammatory agents for COVID-19

(2021) Xiaoqi Wang et al.   BRIEFINGS IN BIOINFORMATICS

MDA-CF: Predicting MiRNA-Disease associations based on a cascade forest model by fusing multi-source information

(2021) Qiuying Dai et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Predictive intelligence powered attentional stacking matrix factorization algorithm for the computational drug repositioning

(2021) Shaohong Yan et al.   APPLIED SOFT COMPUTING

A Distributed Framework for Large-scale Protein-protein Interaction Data Analysis and Prediction Using MapReduce

(2021) Lun Hu et al.   IEEE-CAA Journal of Automatica Sinica

Identifying Protein Complexes From Protein-Protein Interaction Networks Based on Fuzzy Clustering and GO Semantic Information

(2021) Xiangyu Pan et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

MGRCDA: Metagraph Recommendation Method for Predicting CircRNA–Disease Association

(2021) Lei Wang et al.   IEEE Transactions on Cybernetics

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

Predicting Drug-Disease Associations via Multi-Task Learning Based on Collective Matrix Factorization

(2020) Feng Huang et al.   Frontiers in Bioengineering and Biotechnology

HiSCF: leveraging higher-order structures for clustering analysis in biological networks

(2020) Lun Hu et al.   BIOINFORMATICS

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

(2019) Xiangxiang Zeng et al.   BIOINFORMATICS

DTI-CDF: a cascade deep forest model towards the prediction of drug-target interactions based on hybrid features

(2019) Yanyi Chu et al.   BRIEFINGS IN 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

Valproic acid, a histone deacetylase inhibitor, induces apoptosis in breast cancer stem cells

(2018) Nazlıhan Aztopal et al.   CHEMICO-BIOLOGICAL INTERACTIONS

Extracting Coevolutionary Features from Protein Sequences for Predicting Protein-Protein Interactions

(2017) Lun Hu et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

DrugBank 5.0: a major update to the DrugBank database for 2018

(2017) David S Wishart et al.   NUCLEIC ACIDS RESEARCH

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

(2017) Yunan Luo et al.   Nature Communications

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

(2016) Huimin Luo et al.   BIOINFORMATICS

Fuzzy Clustering in a Complex Network Based on Content Relevance and Link Structures

(2016) Lun Hu et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS

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

(2016) Wen Zhang et al.   NEUROCOMPUTING

DisGeNET: a comprehensive platform integrating information on human disease-associated genes and variants

(2016) Janet Piñero et al.   NUCLEIC ACIDS RESEARCH

The Comparative Toxicogenomics Database: update 2017

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

A survey of current trends in computational drug repositioning

(2015) Jiao Li et al.   BRIEFINGS IN BIOINFORMATICS

Matrix Factorization-Based Prediction of Novel Drug Indications by Integrating Genomic Space

(2015) Wen Dai et al.   Computational and Mathematical Methods in Medicine

Autoencoder for words

(2014) Cheng-Yuan Liou et al.   NEUROCOMPUTING

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

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