Predicting drug-target interactions from chemical and genomic kernels using Bayesian matrix factorization.
about
A survey on the computational approaches to identify drug targets in the postgenomic eraPractice and Challenges of Building a Semantic Framework for Chemogenomics ResearchA semi-supervised method for drug-target interaction prediction with consistency in networksPredicting Drug-Target Interactions for New Drug Compounds Using a Weighted Nearest Neighbor ProfilePredicting Anticancer Drug Responses Using a Dual-Layer Integrated Cell Line-Drug Network ModelNeighborhood Regularized Logistic Matrix Factorization for Drug-Target Interaction PredictionLarge-Scale Off-Target Identification Using Fast and Accurate Dual Regularized One-Class Collaborative Filtering and Its Application to Drug RepurposingBIGCHEM: Challenges and Opportunities for Big Data Analysis in ChemistryImproved genome-scale multi-target virtual screening via a novel collaborative filtering approach to cold-start problem.DrugE-Rank: improving drug-target interaction prediction of new candidate drugs or targets by ensemble learning to rankHarnessing Big Data for Systems PharmacologyProgress in the analysis of multiple activity profile of screening data using computational approaches.Providing data science support for systems pharmacology and its implications to drug discoveryNetwork-based inference methods for drug repositioningMatrix Factorization-Based Prediction of Novel Drug Indications by Integrating Genomic Space.Deciding when to stop: efficient experimentation to learn to predict drug-target interactionsA multiple kernel learning algorithm for drug-target interaction predictionImproved prediction of drug-target interactions using regularized least squares integrating with kernel fusion technique.A comparative study of SMILES-based compound similarity functions for drug-target interaction predictionAn eigenvalue transformation technique for predicting drug-target interaction.Predicting existing targets for new drugs base on strategies for missing interactions.Inferring new indications for approved drugs via random walk on drug-disease heterogenous networks.Drug-target interaction prediction via class imbalance-aware ensemble learningSELF-BLM: Prediction of drug-target interactions via self-training SVMImproving compound-protein interaction prediction by building up highly credible negative samples.Network pharmacology strategies toward multi-target anticancer therapies: from computational models to experimental design principles.Similarity-based machine learning methods for predicting drug-target interactions: a brief review.Drug-target interaction prediction via chemogenomic space: learning-based methods.Screening drug-target interactions with positive-unlabeled learningComputational-experimental approach to drug-target interaction mapping: A case study on kinase inhibitors.Drug response prediction by inferring pathway-response associations with kernelized Bayesian matrix factorization.Predicting drug-target interaction networks of human diseases based on multiple feature information.A probabilistic approach for collective similarity-based drug-drug interaction prediction.Identification of drug-target interaction from interactome network with 'guilt-by-association' principle and topology features.In silico prediction of drug-target interaction networks based on drug chemical structure and protein sequences.An Ameliorated Prediction of Drug-Target Interactions Based on Multi-Scale Discrete Wavelet Transform and Network Features.VB-MK-LMF: fusion of drugs, targets and interactions using variational Bayesian multiple kernel logistic matrix factorization.Predicting drug-target interactions using probabilistic matrix factorization.Toward more realistic drug-target interaction predictions.Prediction of drug-target interaction by label propagation with mutual interaction information derived from heterogeneous network.
P2860
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P2860
Predicting drug-target interactions from chemical and genomic kernels using Bayesian matrix factorization.
description
2012 nî lūn-bûn
@nan
2012年の論文
@ja
2012年学术文章
@wuu
2012年学术文章
@zh
2012年学术文章
@zh-cn
2012年学术文章
@zh-hans
2012年学术文章
@zh-my
2012年学术文章
@zh-sg
2012年學術文章
@yue
2012年學術文章
@zh-hant
name
Predicting drug-target interac ...... Bayesian matrix factorization.
@en
Predicting drug-target interac ...... Bayesian matrix factorization.
@nl
type
label
Predicting drug-target interac ...... Bayesian matrix factorization.
@en
Predicting drug-target interac ...... Bayesian matrix factorization.
@nl
prefLabel
Predicting drug-target interac ...... Bayesian matrix factorization.
@en
Predicting drug-target interac ...... Bayesian matrix factorization.
@nl
P2860
P356
P1433
P1476
Predicting drug-target interac ...... Bayesian matrix factorization
@en
P2093
Mehmet Gönen
P2860
P304
P356
10.1093/BIOINFORMATICS/BTS360
P407
P50
P577
2012-06-23T00:00:00Z