115 related articles for article (PubMed ID: 37159322)
1. Low Rank Matrix Factorization Algorithm Based on Multi-Graph Regularization for Detecting Drug-Disease Association.
Ai C; Yang H; Ding Y; Tang J; Guo F
IEEE/ACM Trans Comput Biol Bioinform; 2023; 20(5):3033-3043. PubMed ID: 37159322
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Graph regularized non-negative matrix factorization with [Formula: see text] norm regularization terms for drug-target interactions prediction.
Zhang J; Xie M
BMC Bioinformatics; 2023 Oct; 24(1):375. PubMed ID: 37789278
[TBL] [Abstract][Full Text] [Related]
4. BGMSDDA: a bipartite graph diffusion algorithm with multiple similarity integration for drug-disease association prediction.
Xie G; Li J; Gu G; Sun Y; Lin Z; Zhu Y; Wang W
Mol Omics; 2021 Dec; 17(6):997-1011. PubMed ID: 34610633
[TBL] [Abstract][Full Text] [Related]
5. A weighted non-negative matrix factorization approach to predict potential associations between drug and disease.
Wang MN; Xie XJ; You ZH; Ding DW; Wong L
J Transl Med; 2022 Dec; 20(1):552. PubMed ID: 36463215
[TBL] [Abstract][Full Text] [Related]
6. Combining non-negative matrix factorization with graph Laplacian regularization for predicting drug-miRNA associations based on multi-source information fusion.
Wang MN; Li Y; Lei LL; Ding DW; Xie XJ
Front Pharmacol; 2023; 14():1132012. PubMed ID: 36817132
[TBL] [Abstract][Full Text] [Related]
7. Learning from low-rank multimodal representations for predicting disease-drug associations.
Hu P; Huang YA; Mei J; Leung H; Chen ZH; Kuang ZM; You ZH; Hu L
BMC Med Inform Decis Mak; 2021 Nov; 21(Suppl 1):308. PubMed ID: 34736437
[TBL] [Abstract][Full Text] [Related]
8. Drug-target interaction prediction using unifying of graph regularized nuclear norm with bilinear factorization.
Sorkhi AG; Abbasi Z; Mobarakeh MI; Pirgazi J
BMC Bioinformatics; 2021 Nov; 22(1):555. PubMed ID: 34789169
[TBL] [Abstract][Full Text] [Related]
9. Generalized matrix factorization based on weighted hypergraph learning for microbe-drug association prediction.
Ma Y; Liu Q
Comput Biol Med; 2022 Jun; 145():105503. PubMed ID: 35427986
[TBL] [Abstract][Full Text] [Related]
10. Drug repositioning based on multi-view learning with matrix completion.
Yan Y; Yang M; Zhao H; Duan G; Peng X; Wang J
Brief Bioinform; 2022 May; 23(3):. PubMed ID: 35289352
[TBL] [Abstract][Full Text] [Related]
11. Computational drug repositioning based on multi-similarities bilinear matrix factorization.
Yang M; Wu G; Zhao Q; Li Y; Wang J
Brief Bioinform; 2021 Jul; 22(4):. PubMed ID: 33147616
[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. SLRRSC: Single-Cell Type Recognition Method Based on Similarity and Graph Regularization Constraints.
Zhang NN; Liu JX; Zheng CH; Wang J
IEEE J Biomed Health Inform; 2022 Jul; 26(7):3556-3566. PubMed ID: 35120014
[TBL] [Abstract][Full Text] [Related]
14. Nonnegative Matrix Factorization with Rank Regularization and Hard Constraint.
Shang R; Liu C; Meng Y; Jiao L; Stolkin R
Neural Comput; 2017 Sep; 29(9):2553-2579. PubMed ID: 28777717
[TBL] [Abstract][Full Text] [Related]
15. Multi-View Random-Walk Graph Regularization Low-Rank Representation for Cancer Clustering and Differentially Expressed Gene Selection.
Wang J; Wang LH; Liu JX; Kong XZ; Li SJ
IEEE J Biomed Health Inform; 2022 Jul; 26(7):3578-3589. PubMed ID: 35157604
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Multi-cancer samples clustering via graph regularized low-rank representation method under sparse and symmetric constraints.
Wang J; Lu CH; Liu JX; Dai LY; Kong XZ
BMC Bioinformatics; 2019 Dec; 20(Suppl 22):718. PubMed ID: 31888442
[TBL] [Abstract][Full Text] [Related]
18. Predicting Multiple Types of Associations Between miRNAs and Diseases Based on Graph Regularized Weighted Tensor Decomposition.
Ouyang D; Miao R; Wang J; Liu X; Xie S; Ai N; Dang Q; Liang Y
Front Bioeng Biotechnol; 2022; 10():911769. PubMed ID: 35910021
[TBL] [Abstract][Full Text] [Related]
19. Integrative graph regularized matrix factorization for drug-pathway associations analysis.
Dai LY; Zheng CH; Liu JX; Zhu R; Yuan SS; Wang J; Kong XZ
Comput Biol Chem; 2019 Feb; 78():474-480. PubMed ID: 30581072
[TBL] [Abstract][Full Text] [Related]
20. Low-rank matrix approximation with manifold regularization.
Zhang Z; Zhao K
IEEE Trans Pattern Anal Mach Intell; 2013 Jul; 35(7):1717-29. PubMed ID: 23681998
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
