Drug repositioning based on multi-view learning with matrix completion

Multi-dimensional data integration algorithm based on random walk with restart

(2021) Yuqi Wen et al.   BMC BIOINFORMATICS

Domain-adversarial multi-task framework for novel therapeutic property prediction of compounds

(2020) Lingwei Xie et al.   BIOINFORMATICS

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

(2020) Wenjuan Zhang et al.   BIOINFORMATICS

Role of Gliclazide MR in the Management of Type 2 Diabetes: Report of a Symposium on Real-World Evidence and New Perspectives

(2020) Kamlesh Khunti et al.   Diabetes Therapy

Predicting drug–disease associations through layer attention graph convolutional network

(2020) Zhouxin Yu et al.   BRIEFINGS IN BIOINFORMATICS

PIMD: An Integrative Approach for Drug Repositioning Using Multiple Characterization Fusion

(2020) Song He et al.   GENOMICS PROTEOMICS & BIOINFORMATICS

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

(2019) Xiangxiang Zeng et al.   BIOINFORMATICS

Adaptive multi-view multi-label learning for identifying disease-associated candidate miRNAs

(2019) Cheng Liang et al.   PLoS Computational Biology

Drug repositioning based on bounded nuclear norm regularization

(2019) Mengyun Yang et al.   BIOINFORMATICS

Prediction of Potential Drug–Disease Associations through Deep Integration of Diversity and Projections of Various Drug Features

(2019) Ping Xuan et al.   INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES

Advancing Drug Discovery via Artificial Intelligence

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

A bibliometric review of drug repurposing

(2018) Nancy C. Baker et al.   DRUG DISCOVERY TODAY

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

(2016) Huimin Luo et al.   BIOINFORMATICS

Can you teach old drugs new tricks?

(2016) Nicola Nosengo   NATURE

The Comparative Toxicogenomics Database: update 2017

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

DrugNet: Network-based drug–disease prioritization by integrating heterogeneous data

(2015) Víctor Martínez et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Exploiting ontology graph for predicting sparsely annotated gene function

(2015) Sheng Wang et al.   BIOINFORMATICS

Targeted Proteomics Identifies Paraoxonase/Arylesterase 1 (PON1) and Apolipoprotein Cs as Potential Risk Factors for Hypoalphalipoproteinemia in Diabetic Subjects Treated with Fenofibrate and Rosiglitazone

(2015) Graziella E. Ronsein et al.   MOLECULAR & CELLULAR PROTEOMICS

The SIDER database of drugs and side effects

(2015) Michael Kuhn et al.   NUCLEIC ACIDS RESEARCH

Drug repositioning by integrating target information through a heterogeneous network model

(2014) Wenhui Wang et al.   BIOINFORMATICS

Similarity network fusion for aggregating data types on a genomic scale

(2014) Bo Wang et al.   NATURE METHODS

Comparing clinical features of young onset, middle onset and late onset Parkinson's disease

(2014) Raja Mehanna et al.   PARKINSONISM & RELATED DISORDERS

Machine Learning Prediction of Cancer Cell Sensitivity to Drugs Based on Genomic and Chemical Properties

(2013) Michael P. Menden et al.   PLoS One

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

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

How to improve R&D productivity: the pharmaceutical industry's grand challenge

(2010) Steven M. Paul et al.   NATURE REVIEWS DRUG DISCOVERY