226 related articles for article (PubMed ID: 28978313)
1. VB-MK-LMF: fusion of drugs, targets and interactions using variational Bayesian multiple kernel logistic matrix factorization.
Bolgár B; Antal P
BMC Bioinformatics; 2017 Oct; 18(1):440. PubMed ID: 28978313
[TBL] [Abstract][Full Text] [Related]
2. Kernelized Bayesian Matrix Factorization.
Gönen M; Kaski S
IEEE Trans Pattern Anal Mach Intell; 2014 Oct; 36(10):2047-60. PubMed ID: 26352634
[TBL] [Abstract][Full Text] [Related]
3. NMTF-DTI: A Nonnegative Matrix Tri-factorization Approach With Multiple Kernel Fusion for Drug-Target Interaction Prediction.
Jamali AA; Kusalik A; Wu FX
IEEE/ACM Trans Comput Biol Bioinform; 2023; 20(1):586-594. PubMed ID: 34914594
[TBL] [Abstract][Full Text] [Related]
4. Identification of drug-target interactions via multiple kernel-based triple collaborative matrix factorization.
Ding Y; Tang J; Guo F; Zou Q
Brief Bioinform; 2022 Mar; 23(2):. PubMed ID: 35134117
[TBL] [Abstract][Full Text] [Related]
5. Kernel Bayesian nonlinear matrix factorization based on variational inference for human-virus protein-protein interaction prediction.
Ma Y; Zhao Y; Ma Y
Sci Rep; 2024 Mar; 14(1):5693. PubMed ID: 38454139
[TBL] [Abstract][Full Text] [Related]
6. A Bayesian Multiple Kernel Learning Algorithm for SSVEP BCI Detection.
Oikonomou VP; Nikolopoulos S; Kompatsiaris I
IEEE J Biomed Health Inform; 2019 Sep; 23(5):1990-2001. PubMed ID: 30369458
[TBL] [Abstract][Full Text] [Related]
7. Kernel-imbedded Gaussian processes for disease classification using microarray gene expression data.
Zhao X; Cheung LW
BMC Bioinformatics; 2007 Feb; 8():67. PubMed ID: 17328811
[TBL] [Abstract][Full Text] [Related]
8. Drug-Target Interaction Prediction via Dual Laplacian Graph Regularized Logistic Matrix Factorization.
Wang A; Wang M
Biomed Res Int; 2021; 2021():5599263. PubMed ID: 33855072
[TBL] [Abstract][Full Text] [Related]
9. Matrix factorization with denoising autoencoders for prediction of drug-target interactions.
Sajadi SZ; Zare Chahooki MA; Tavakol M; Gharaghani S
Mol Divers; 2023 Jun; 27(3):1333-1343. PubMed ID: 35871213
[TBL] [Abstract][Full Text] [Related]
10. Graph regularized non-negative matrix factorization with prior knowledge consistency constraint for drug-target interactions prediction.
Zhang J; Xie M
BMC Bioinformatics; 2022 Dec; 23(1):564. PubMed ID: 36581822
[TBL] [Abstract][Full Text] [Related]
11. Predicting drug-target interactions by dual-network integrated logistic matrix factorization.
Hao M; Bryant SH; Wang Y
Sci Rep; 2017 Jan; 7():40376. PubMed ID: 28079135
[TBL] [Abstract][Full Text] [Related]
12. Multiple similarity drug-target interaction prediction with random walks and matrix factorization.
Liu B; Papadopoulos D; Malliaros FD; Tsoumakas G; Papadopoulos AN
Brief Bioinform; 2022 Sep; 23(5):. PubMed ID: 36070659
[TBL] [Abstract][Full Text] [Related]
13. Time series analysis of fMRI data: Spatial modelling and Bayesian computation.
Teng M; Johnson TD; Nathoo FS
Stat Med; 2018 Aug; 37(18):2753-2770. PubMed ID: 29717508
[TBL] [Abstract][Full Text] [Related]
14. Auto-HMM-LMF: feature selection based method for prediction of drug response via autoencoder and hidden Markov model.
Emdadi A; Eslahchi C
BMC Bioinformatics; 2021 Jan; 22(1):33. PubMed ID: 33509079
[TBL] [Abstract][Full Text] [Related]
15. Predicting drug-target interactions from chemical and genomic kernels using Bayesian matrix factorization.
Gönen M
Bioinformatics; 2012 Sep; 28(18):2304-10. PubMed ID: 22730431
[TBL] [Abstract][Full Text] [Related]
16. Multi-network logistic matrix factorization for metabolite-disease interaction prediction.
Ma Y; He T; Jiang X
FEBS Lett; 2020 Jun; 594(11):1675-1684. PubMed ID: 32246474
[TBL] [Abstract][Full Text] [Related]
17. A Novel Triple Matrix Factorization Method for Detecting Drug-Side Effect Association Based on Kernel Target Alignment.
Guo X; Zhou W; Yu Y; Ding Y; Tang J; Guo F
Biomed Res Int; 2020; 2020():4675395. PubMed ID: 32596314
[TBL] [Abstract][Full Text] [Related]
18. Drug-Target Interaction Prediction Based on Adversarial Bayesian Personalized Ranking.
Ye Y; Wen Y; Zhang Z; He S; Bo X
Biomed Res Int; 2021; 2021():6690154. PubMed ID: 33628808
[TBL] [Abstract][Full Text] [Related]
19. Completing sparse and disconnected protein-protein network by deep learning.
Huang L; Liao L; Wu CH
BMC Bioinformatics; 2018 Mar; 19(1):103. PubMed ID: 29566671
[TBL] [Abstract][Full Text] [Related]
20. An Inductive Logistic Matrix Factorization Model for Predicting Drug-Metabolite Association With Vicus Regularization.
Ma Y; Liu L; Chen Q; Ma Y
Front Microbiol; 2021; 12():650366. PubMed ID: 33868209
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
