Drug–disease associations prediction via Multiple Kernel-based Dual Graph Regularized Least Squares

Drug repositioning based on similarity constrained probabilistic matrix factorization: COVID-19 as a case study

(2021) Yajie Meng et al.   APPLIED SOFT COMPUTING

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

(2020) Wenjuan Zhang et al.   BIOINFORMATICS

A class of new Support Vector Regression models

(2020) Pritam Anand et al.   APPLIED SOFT COMPUTING

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

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

SNF–CVAE: Computational method to predict drug–disease interactions using similarity network fusion and collective variational autoencoder

(2020) Tamer N. Jarada et al.   KNOWLEDGE-BASED SYSTEMS

Two graph-regularized fuzzy subspace clustering methods

(2020) Yueyang Teng et al.   APPLIED SOFT COMPUTING

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

(2019) Ping Xuan et al.   BIOINFORMATICS

Identification of membrane protein types via multivariate information fusion with Hilbert–Schmidt Independence Criterion

(2019) Hao Wang et al.   NEUROCOMPUTING

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

The Comparative Toxicogenomics Database: update 2019

(2018) Allan Peter Davis et al.   NUCLEIC ACIDS RESEARCH

Drug repurposing: progress, challenges and recommendations

(2018) Sudeep Pushpakom et al.   NATURE REVIEWS DRUG DISCOVERY

Identification of protein subcellular localization via integrating evolutionary and physicochemical information into Chou’s general PseAAC

(2018) Yinan Shen et al.   JOURNAL OF THEORETICAL BIOLOGY

Drug-Target Interaction Prediction with Graph Regularized Matrix Factorization

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

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

(2016) Huimin Luo et al.   BIOINFORMATICS

A comparative study of SMILES-based compound similarity functions for drug-target interaction prediction

(2016) Hakime Öztürk et al.   BMC BIOINFORMATICS

Neighborhood Regularized Logistic Matrix Factorization for Drug-Target Interaction Prediction

(2016) Yong Liu et al.   PLoS Computational Biology

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

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

Drug repositioning by integrating target information through a heterogeneous network model

(2014) Wenhui Wang et al.   BIOINFORMATICS

A phenome-guided drug repositioning through a latent variable model

(2014) Halil Bisgin et al.   BMC BIOINFORMATICS

Multiple kernel clustering based on centered kernel alignment

(2014) Yanting Lu et al.   PATTERN RECOGNITION

Validating therapeutic targets through human genetics

(2013) Robert M. Plenge et al.   NATURE REVIEWS DRUG DISCOVERY

Prediction of Drug-Target Interactions and Drug Repositioning via Network-Based Inference

(2012) Feixiong Cheng et al.   PLoS Computational Biology

Gaussian interaction profile kernels for predicting drug–target interaction

(2011) Twan van Laarhoven et al.   BIOINFORMATICS

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

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

Building Disease-Specific Drug-Protein Connectivity Maps from Molecular Interaction Networks and PubMed Abstracts

(2009) Jiao Li et al.   PLoS Computational Biology