239 related articles for article (PubMed ID: 31265947)
1. Anticancer Drug Response Prediction in Cell Lines Using Weighted Graph Regularized Matrix Factorization.
Guan NN; Zhao Y; Wang CC; Li JQ; Chen X; Piao X
Mol Ther Nucleic Acids; 2019 Sep; 17():164-174. PubMed ID: 31265947
[TBL] [Abstract][Full Text] [Related]
2. Improved anticancer drug response prediction in cell lines using matrix factorization with similarity regularization.
Wang L; Li X; Zhang L; Gao Q
BMC Cancer; 2017 Aug; 17(1):513. PubMed ID: 28768489
[TBL] [Abstract][Full Text] [Related]
3. Predicting lncRNA-Protein Interaction With Weighted Graph-Regularized Matrix Factorization.
Sun X; Cheng L; Liu J; Xie C; Yang J; Li F
Front Genet; 2021; 12():690096. PubMed ID: 34335693
[TBL] [Abstract][Full Text] [Related]
4. De novo Prediction of Cell-Drug Sensitivities Using Deep Learning-based Graph Regularized Matrix Factorization.
Ren S; Tao Y; Yu K; Xue Y; Schwartz R; Lu X
Pac Symp Biocomput; 2022; 27():278-289. PubMed ID: 34890156
[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. 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]
7. 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]
8. DSPLMF: A Method for Cancer Drug Sensitivity Prediction Using a Novel Regularization Approach in Logistic Matrix Factorization.
Emdadi A; Eslahchi C
Front Genet; 2020; 11():75. PubMed ID: 32174963
[TBL] [Abstract][Full Text] [Related]
9. Human Microbe-Disease Association Prediction With Graph Regularized Non-Negative Matrix Factorization.
He BS; Peng LH; Li Z
Front Microbiol; 2018; 9():2560. PubMed ID: 30443240
[TBL] [Abstract][Full Text] [Related]
10. Improving drug response prediction based on two-space graph convolution.
Peng W; Chen T; Liu H; Dai W; Yu N; Lan W
Comput Biol Med; 2023 May; 158():106859. PubMed ID: 37023539
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. NeuPD-A Neural Network-Based Approach to Predict Antineoplastic Drug Response.
Shahzad M; Tahir MA; Alhussein M; Mobin A; Shams Malick RA; Anwar MS
Diagnostics (Basel); 2023 Jun; 13(12):. PubMed ID: 37370938
[TBL] [Abstract][Full Text] [Related]
13. DeepDSC: A Deep Learning Method to Predict Drug Sensitivity of Cancer Cell Lines.
Li M; Wang Y; Zheng R; Shi X; Li Y; Wu FX; Wang J
IEEE/ACM Trans Comput Biol Bioinform; 2021; 18(2):575-582. PubMed ID: 31150344
[TBL] [Abstract][Full Text] [Related]
14. An Improved Anticancer Drug-Response Prediction Based on an Ensemble Method Integrating Matrix Completion and Ridge Regression.
Liu C; Wei D; Xiang J; Ren F; Huang L; Lang J; Tian G; Li Y; Yang J
Mol Ther Nucleic Acids; 2020 Sep; 21():676-686. PubMed ID: 32759058
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Clinical drug response prediction from preclinical cancer cell lines by logistic matrix factorization approach.
Emdadi A; Eslahchi C
J Bioinform Comput Biol; 2022 Apr; 20(2):2150035. PubMed ID: 34923927
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. DBDNMF: A Dual Branch Deep Neural Matrix Factorization method for drug response prediction.
Liu H; Wang F; Yu J; Pan Y; Gong C; Zhang L; Zhang L
PLoS Comput Biol; 2024 Apr; 20(4):e1012012. PubMed ID: 38574114
[TBL] [Abstract][Full Text] [Related]
19. L
Cui Z; Gao YL; Liu JX; Dai LY; Yuan SS
BMC Bioinformatics; 2019 Jun; 20(Suppl 8):287. PubMed ID: 31182006
[TBL] [Abstract][Full Text] [Related]
20. Novel Collaborative Weighted Non-negative Matrix Factorization Improves Prediction of Disease-Associated Human Microbes.
Xu D; Xu H; Zhang Y; Gao R
Front Microbiol; 2022; 13():834982. PubMed ID: 35369503
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
