121 related articles for article (PubMed ID: 38377572)
1. Prediction of MicroRNA-Disease Potential Association Based on Sparse Learning and Multilayer Random Walks.
Yao HB; Hou ZJ; Zhang WG; Li H; Chen Y
J Comput Biol; 2024 Mar; 31(3):241-256. PubMed ID: 38377572
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. A novel miRNA-disease association prediction model using dual random walk with restart and space projection federated method.
Li A; Deng Y; Tan Y; Chen M
PLoS One; 2021; 16(6):e0252971. PubMed ID: 34138933
[TBL] [Abstract][Full Text] [Related]
5. Predicting miRNA-disease associations using improved random walk with restart and integrating multiple similarities.
Nguyen VT; Le TTK; Than K; Tran DH
Sci Rep; 2021 Oct; 11(1):21071. PubMed ID: 34702958
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Dual-Network Collaborative Matrix Factorization for predicting small molecule-miRNA associations.
Wang SH; Wang CC; Huang L; Miao LY; Chen X
Brief Bioinform; 2022 Jan; 23(1):. PubMed ID: 34864865
[TBL] [Abstract][Full Text] [Related]
8. Inferring microRNA-disease association by hybrid recommendation algorithm and unbalanced bi-random walk on heterogeneous network.
Yu DL; Ma YL; Yu ZG
Sci Rep; 2019 Feb; 9(1):2474. PubMed ID: 30792474
[TBL] [Abstract][Full Text] [Related]
9. A novel target convergence set based random walk with restart for prediction of potential LncRNA-disease associations.
Li J; Li X; Feng X; Wang B; Zhao B; Wang L
BMC Bioinformatics; 2019 Dec; 20(1):626. PubMed ID: 31795943
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Biased Random Walk With Restart on Multilayer Heterogeneous Networks for MiRNA-Disease Association Prediction.
Qu J; Wang CC; Cai SB; Zhao WD; Cheng XL; Ming Z
Front Genet; 2021; 12():720327. PubMed ID: 34447416
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Prediction of Small Molecule-MicroRNA Associations by Sparse Learning and Heterogeneous Graph Inference.
Yin J; Chen X; Wang CC; Zhao Y; Sun YZ
Mol Pharm; 2019 Jul; 16(7):3157-3166. PubMed ID: 31136190
[TBL] [Abstract][Full Text] [Related]
14. ELLPMDA: Ensemble learning and link prediction for miRNA-disease association prediction.
Chen X; Zhou Z; Zhao Y
RNA Biol; 2018; 15(6):807-818. PubMed ID: 29619882
[TBL] [Abstract][Full Text] [Related]
15. Dual Laplacian regularized matrix completion for microRNA-disease associations prediction.
Tang C; Zhou H; Zheng X; Zhang Y; Sha X
RNA Biol; 2019 May; 16(5):601-611. PubMed ID: 30676207
[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. 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]
18. A Novel Computational Model for Predicting microRNA-Disease Associations Based on Heterogeneous Graph Convolutional Networks.
Li C; Liu H; Hu Q; Que J; Yao J
Cells; 2019 Aug; 8(9):. PubMed ID: 31455028
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. MRWMDA: A novel framework to infer miRNA-disease associations.
Wang M; Zhu P
Biosystems; 2021 Jan; 199():104292. PubMed ID: 33221377
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]