342 related articles for article (PubMed ID: 29532987)
1. NDAMDA: Network distance analysis for MiRNA-disease association prediction.
Chen X; Wang LY; Huang L
J Cell Mol Med; 2018 May; 22(5):2884-2895. PubMed ID: 29532987
[TBL] [Abstract][Full Text] [Related]
2. An improved random forest-based computational model for predicting novel miRNA-disease associations.
Yao D; Zhan X; Kwoh CK
BMC Bioinformatics; 2019 Dec; 20(1):624. PubMed ID: 31795954
[TBL] [Abstract][Full Text] [Related]
3. WBNPMD: weighted bipartite network projection for microRNA-disease association prediction.
Xie G; Fan Z; Sun Y; Wu C; Ma L
J Transl Med; 2019 Sep; 17(1):322. PubMed ID: 31547811
[TBL] [Abstract][Full Text] [Related]
4. In silico prediction of potential miRNA-disease association using an integrative bioinformatics approach based on kernel fusion.
Guan NN; Wang CC; Zhang L; Huang L; Li JQ; Piao X
J Cell Mol Med; 2020 Jan; 24(1):573-587. PubMed ID: 31747722
[TBL] [Abstract][Full Text] [Related]
5. Computational method using heterogeneous graph convolutional network model combined with reinforcement layer for MiRNA-disease association prediction.
Huang D; An J; Zhang L; Liu B
BMC Bioinformatics; 2022 Jul; 23(1):299. PubMed ID: 35879658
[TBL] [Abstract][Full Text] [Related]
6. MCMDA: Matrix completion for MiRNA-disease association prediction.
Li JQ; Rong ZH; Chen X; Yan GY; You ZH
Oncotarget; 2017 Mar; 8(13):21187-21199. PubMed ID: 28177900
[TBL] [Abstract][Full Text] [Related]
7. Improved Prediction of miRNA-Disease Associations Based on Matrix Completion with Network Regularization.
Ha J; Park C; Park C; Park S
Cells; 2020 Apr; 9(4):. PubMed ID: 32260218
[TBL] [Abstract][Full Text] [Related]
8. DRMDA: deep representations-based miRNA-disease association prediction.
Chen X; Gong Y; Zhang DH; You ZH; Li ZW
J Cell Mol Med; 2018 Jan; 22(1):472-485. PubMed ID: 28857494
[TBL] [Abstract][Full Text] [Related]
9. MDHGI: Matrix Decomposition and Heterogeneous Graph Inference for miRNA-disease association prediction.
Chen X; Yin J; Qu J; Huang L
PLoS Comput Biol; 2018 Aug; 14(8):e1006418. PubMed ID: 30142158
[TBL] [Abstract][Full Text] [Related]
10. Predicting MiRNA-disease associations by multiple meta-paths fusion graph embedding model.
Zhang L; Liu B; Li Z; Zhu X; Liang Z; An J
BMC Bioinformatics; 2020 Oct; 21(1):470. PubMed ID: 33087064
[TBL] [Abstract][Full Text] [Related]
11. LRSSLMDA: Laplacian Regularized Sparse Subspace Learning for MiRNA-Disease Association prediction.
Chen X; Huang L
PLoS Comput Biol; 2017 Dec; 13(12):e1005912. PubMed ID: 29253885
[TBL] [Abstract][Full Text] [Related]
12. An integrated framework for the identification of potential miRNA-disease association based on novel negative samples extraction strategy.
Wang CC; Chen X; Yin J; Qu J
RNA Biol; 2019 Mar; 16(3):257-269. PubMed ID: 30646823
[TBL] [Abstract][Full Text] [Related]
13. EGBMMDA: Extreme Gradient Boosting Machine for MiRNA-Disease Association prediction.
Chen X; Huang L; Xie D; Zhao Q
Cell Death Dis; 2018 Jan; 9(1):3. PubMed ID: 29305594
[TBL] [Abstract][Full Text] [Related]
14. Ensemble of decision tree reveals potential miRNA-disease associations.
Chen X; Zhu CC; Yin J
PLoS Comput Biol; 2019 Jul; 15(7):e1007209. PubMed ID: 31329575
[TBL] [Abstract][Full Text] [Related]
15. A heterogeneous label propagation approach to explore the potential associations between miRNA and disease.
Chen X; Zhang DH; You ZH
J Transl Med; 2018 Dec; 16(1):348. PubMed ID: 30537965
[TBL] [Abstract][Full Text] [Related]
16. Efficient framework for predicting MiRNA-disease associations based on improved hybrid collaborative filtering.
Nie R; Li Z; You ZH; Bao W; Li J
BMC Med Inform Decis Mak; 2021 Aug; 21(Suppl 1):254. PubMed ID: 34461870
[TBL] [Abstract][Full Text] [Related]
17. A novel computational model based on super-disease and miRNA for potential miRNA-disease association prediction.
Chen X; Jiang ZC; Xie D; Huang DS; Zhao Q; Yan GY; You ZH
Mol Biosyst; 2017 May; 13(6):1202-1212. PubMed ID: 28470244
[TBL] [Abstract][Full Text] [Related]
18. GIMDA: Graphlet interaction-based MiRNA-disease association prediction.
Chen X; Guan NN; Li JQ; Yan GY
J Cell Mol Med; 2018 Mar; 22(3):1548-1561. PubMed ID: 29272076
[TBL] [Abstract][Full Text] [Related]
19. A Novel Approach Based on a Weighted Interactive Network to Predict Associations of MiRNAs and Diseases.
Zhao H; Kuang L; Feng X; Zou Q; Wang L
Int J Mol Sci; 2018 Dec; 20(1):. PubMed ID: 30597923
[TBL] [Abstract][Full Text] [Related]
20. NTSMDA: prediction of miRNA-disease associations by integrating network topological similarity.
Sun D; Li A; Feng H; Wang M
Mol Biosyst; 2016 Jun; 12(7):2224-32. PubMed ID: 27153230
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
