175 related articles for article (PubMed ID: 34789252)
21. NEMPD: a network embedding-based method for predicting miRNA-disease associations by preserving behavior and attribute information.
Ji BY; You ZH; Chen ZH; Wong L; Yi HC
BMC Bioinformatics; 2020 Sep; 21(1):401. PubMed ID: 32912137
[TBL] [Abstract][Full Text] [Related]
22. 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]
23. 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]
24. Predicting miRNA-disease associations based on graph attention networks and dual Laplacian regularized least squares.
Wang W; Chen H
Brief Bioinform; 2022 Sep; 23(5):. PubMed ID: 35849099
[TBL] [Abstract][Full Text] [Related]
25. IMIPMF: Inferring miRNA-disease interactions using probabilistic matrix factorization.
Ha J; Park C; Park C; Park S
J Biomed Inform; 2020 Feb; 102():103358. PubMed ID: 31857202
[TBL] [Abstract][Full Text] [Related]
26. 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]
27. 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]
28. Predict MiRNA-Disease Association with Collaborative Filtering.
Jiang Y; Liu B; Yu L; Yan C; Bian H
Neuroinformatics; 2018 Oct; 16(3-4):363-372. PubMed ID: 29948843
[TBL] [Abstract][Full Text] [Related]
29. 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]
30. GCAEMDA: Predicting miRNA-disease associations via graph convolutional autoencoder.
Li L; Wang YT; Ji CM; Zheng CH; Ni JC; Su YS
PLoS Comput Biol; 2021 Dec; 17(12):e1009655. PubMed ID: 34890410
[TBL] [Abstract][Full Text] [Related]
31. 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]
32. Bipartite graph-based collaborative matrix factorization method for predicting miRNA-disease associations.
Zhou F; Yin MM; Jiao CN; Cui Z; Zhao JX; Liu JX
BMC Bioinformatics; 2021 Nov; 22(1):573. PubMed ID: 34837953
[TBL] [Abstract][Full Text] [Related]
33. 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]
34. A novel semi-supervised model for miRNA-disease association prediction based on [Formula: see text]-norm graph.
Liang C; Yu S; Wong KC; Luo J
J Transl Med; 2018 Dec; 16(1):357. PubMed ID: 30547813
[TBL] [Abstract][Full Text] [Related]
35. MDAlmc: A Novel Low-rank Matrix Completion Model for MiRNADisease Association Prediction by Integrating Similarities among MiRNAs and Diseases.
Wang K; Xu J; Tian G; Li Y; Zeng X; Yang J
Curr Gene Ther; 2023; 23(4):316-327. PubMed ID: 37114790
[TBL] [Abstract][Full Text] [Related]
36. NMCMDA: neural multicategory MiRNA-disease association prediction.
Wang J; Li J; Yue K; Wang L; Ma Y; Li Q
Brief Bioinform; 2021 Sep; 22(5):. PubMed ID: 33778850
[TBL] [Abstract][Full Text] [Related]
37. Matrix reconstruction with reliable neighbors for predicting potential MiRNA-disease associations.
Feng H; Jin D; Li J; Li Y; Zou Q; Liu T
Brief Bioinform; 2023 Jan; 24(1):. PubMed ID: 36567252
[TBL] [Abstract][Full Text] [Related]
38. 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]
39. Identification of miRNA-disease associations via multiple information integration with Bayesian ranking.
Zhu CC; Wang CC; Zhao Y; Zuo M; Chen X
Brief Bioinform; 2021 Nov; 22(6):. PubMed ID: 34347021
[TBL] [Abstract][Full Text] [Related]
40. Predicting miRNA-Disease Associations Based On Multi-View Variational Graph Auto-Encoder With Matrix Factorization.
Ding Y; Lei X; Liao B; Wu FX
IEEE J Biomed Health Inform; 2022 Jan; 26(1):446-457. PubMed ID: 34111017
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]