Predicting drug–target interaction networks of human diseases based on multiple feature information

Drug–target interaction prediction through domain-tuned network-based inference

(2013) Salvatore Alaimo et al.   BIOINFORMATICS

A Semi-Supervised Method for Drug-Target Interaction Prediction with Consistency in Networks

(2013) Hailin Chen et al.   PLoS One

Predicting drug-target interactions from chemical and genomic kernels using Bayesian matrix factorization

(2012) M. Gonen   BIOINFORMATICS

Drug–target interaction prediction by learning from local information and neighbors

(2012) Jian-Ping Mei et al.   BIOINFORMATICS

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

(2012) Feixiong Cheng et al.   PLoS Computational Biology

LIBSVM

(2012) Chih-Chung Chang et al.   ACM Transactions on Intelligent Systems and Technology

An improved classification of G-protein-coupled receptors using sequence-derived features

(2010) Zhen-Ling Peng et al.   BMC BIOINFORMATICS

A semi-supervised learning approach to predict synthetic genetic interactions by combining functional and topological properties of functional gene network

(2010) Zhu-Hong You et al.   BMC BIOINFORMATICS

Semi-supervised drug-protein interaction prediction from heterogeneous biological spaces

(2010) Zheng Xia et al.   BMC Systems Biology

Drug-Target Networks

(2010) Ingo Vogt et al.   Molecular Informatics

Predicting Drug-Target Interaction Networks Based on Functional Groups and Biological Features

(2010) Zhisong He et al.   PLoS One

Pitfalls of supervised feature selection

(2009) Pawel Smialowski et al.   BIOINFORMATICS

Supervised prediction of drug–target interactions using bipartite local models

(2009) Kevin Bleakley et al.   BIOINFORMATICS

Semi-supervised protein subcellular localization

(2009) Qian Xu et al.   BMC BIOINFORMATICS

Infrastructure for the life sciences: design and implementation of the UniProt website

(2009) Eric Jain et al.   BMC BIOINFORMATICS

Target discovery from data mining approaches

(2009) Yongliang Yang et al.   DRUG DISCOVERY TODAY

Using support vector machine with a hybrid feature selection method to the stock trend prediction

(2009) Ming-Chi Lee   EXPERT SYSTEMS WITH APPLICATIONS

Fast Gene Ontology based clustering for microarray experiments

(2009) Kristian Ovaska et al.   BioData Mining

Prediction of drug-target interaction networks from the integration of chemical and genomic spaces

(2008) Y. Yamanishi et al.   BIOINFORMATICS

MiRTif: a support vector machine-based microRNA target interaction filter

(2008) Yuchen Yang et al.   BMC BIOINFORMATICS

Gene selection algorithm by combining reliefF and mRMR

(2008) Yi Zhang et al.   BMC GENOMICS

Network pharmacology: the next paradigm in drug discovery

(2008) Andrew L Hopkins   Nature Chemical Biology