118 related articles for article (PubMed ID: 38123111)
1. A vector projection similarity-based method for miRNA-disease association prediction.
Xie G; Xie W; Gu G; Lin Z; Chen R; Liu S; Yu J
Anal Biochem; 2024 Apr; 687():115431. PubMed ID: 38123111
[TBL] [Abstract][Full Text] [Related]
2. DNRLMF-MDA:Predicting microRNA-Disease Associations Based on Similarities of microRNAs and Diseases.
Yan C; Wang J; Ni P; Lan W; Wu FX; Pan Y
IEEE/ACM Trans Comput Biol Bioinform; 2019; 16(1):233-243. PubMed ID: 29990253
[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. 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]
5. MvKFN-MDA: Multi-view Kernel Fusion Network for miRNA-disease association prediction.
Li J; Liu T; Wang J; Li Q; Ning C; Yang Y
Artif Intell Med; 2021 Aug; 118():102115. PubMed ID: 34412838
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. 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]
8. SCPLPA: An miRNA-disease association prediction model based on spatial consistency projection and label propagation algorithm.
Chen M; Deng Y; Li Z; Ye Y; Zeng L; He Z; Peng G
J Cell Mol Med; 2024 May; 28(9):e18345. PubMed ID: 38693850
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. 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]
11. MDSCMF: Matrix Decomposition and Similarity-Constrained Matrix Factorization for miRNA-Disease Association Prediction.
Ni J; Li L; Wang Y; Ji C; Zheng C
Genes (Basel); 2022 Jun; 13(6):. PubMed ID: 35741782
[TBL] [Abstract][Full Text] [Related]
12. MCCMF: collaborative matrix factorization based on matrix completion for predicting miRNA-disease associations.
Wu TR; Yin MM; Jiao CN; Gao YL; Kong XZ; Liu JX
BMC Bioinformatics; 2020 Oct; 21(1):454. PubMed ID: 33054708
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. 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]
15. Predicting miRNA-Disease Association Based on Improved Graph Regression.
Li L; Gao Z; Zheng CH; Qi R; Wang YT; Ni JC
IEEE/ACM Trans Comput Biol Bioinform; 2022; 19(6):3604-3613. PubMed ID: 34757912
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Prediction of Disease-related microRNAs through Integrating Attributes of microRNA Nodes and Multiple Kinds of Connecting Edges.
Xuan P; Li L; Zhang T; Zhang Y; Song Y
Molecules; 2019 Aug; 24(17):. PubMed ID: 31455026
[TBL] [Abstract][Full Text] [Related]
18. A Semi-Supervised Learning Method for MiRNA-Disease Association Prediction Based on Variational Autoencoder.
Ji C; Wang Y; Gao Z; Li L; Ni J; Zheng C
IEEE/ACM Trans Comput Biol Bioinform; 2022; 19(4):2049-2059. PubMed ID: 33735084
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. MiRNA-disease association prediction via hypergraph learning based on high-dimensionality features.
Wang YT; Wu QW; Gao Z; Ni JC; Zheng CH
BMC Med Inform Decis Mak; 2021 Apr; 21(Suppl 1):133. PubMed ID: 33882934
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
