232 related articles for article (PubMed ID: 30439645)
21. PRMDA: personalized recommendation-based MiRNA-disease association prediction.
You ZH; Wang LP; Chen X; Zhang S; Li XF; Yan GY; Li ZW
Oncotarget; 2017 Oct; 8(49):85568-85583. PubMed ID: 29156742
[TBL] [Abstract][Full Text] [Related]
22. SCMFMDA: Predicting microRNA-disease associations based on similarity constrained matrix factorization.
Li L; Gao Z; Wang YT; Zhang MW; Ni JC; Zheng CH; Su Y
PLoS Comput Biol; 2021 Jul; 17(7):e1009165. PubMed ID: 34252084
[TBL] [Abstract][Full Text] [Related]
23. HAMDA: Hybrid Approach for MiRNA-Disease Association prediction.
Chen X; Niu YW; Wang GH; Yan GY
J Biomed Inform; 2017 Dec; 76():50-58. PubMed ID: 29097278
[TBL] [Abstract][Full Text] [Related]
24. 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]
25. Maximal entropy random walk on heterogenous network for MIRNA-disease Association prediction.
Niu YW; Liu H; Wang GH; Yan GY
Math Biosci; 2018 Dec; 306():1-9. PubMed ID: 30336146
[TBL] [Abstract][Full Text] [Related]
26. Deep-belief network for predicting potential miRNA-disease associations.
Chen X; Li TH; Zhao Y; Wang CC; Zhu CC
Brief Bioinform; 2021 May; 22(3):. PubMed ID: 34020550
[TBL] [Abstract][Full Text] [Related]
27. 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]
28. A structural deep network embedding model for predicting associations between miRNA and disease based on molecular association network.
Li HY; Chen HY; Wang L; Song SJ; You ZH; Yan X; Yu JQ
Sci Rep; 2021 Jun; 11(1):12640. PubMed ID: 34135401
[TBL] [Abstract][Full Text] [Related]
29. 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]
30. BHCMDA: A New Biased Heat Conduction Based Method for Potential MiRNA-Disease Association Prediction.
Zhu X; Wang X; Zhao H; Pei T; Kuang L; Wang L
Front Genet; 2020; 11():384. PubMed ID: 32425979
[TBL] [Abstract][Full Text] [Related]
31. 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]
32. 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]
33. 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]
34. SSCMDA: spy and super cluster strategy for MiRNA-disease association prediction.
Zhao Q; Xie D; Liu H; Wang F; Yan GY; Chen X
Oncotarget; 2018 Jan; 9(2):1826-1842. PubMed ID: 29416734
[TBL] [Abstract][Full Text] [Related]
35. 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]
36. A Semi-Supervised Learning Algorithm for Predicting Four Types MiRNA-Disease Associations by Mutual Information in a Heterogeneous Network.
Zhang X; Yin J; Zhang X
Genes (Basel); 2018 Mar; 9(3):. PubMed ID: 29498680
[TBL] [Abstract][Full Text] [Related]
37. Predicting miRNA-disease association from heterogeneous information network with GraRep embedding model.
Ji BY; You ZH; Cheng L; Zhou JR; Alghazzawi D; Li LP
Sci Rep; 2020 Apr; 10(1):6658. PubMed ID: 32313121
[TBL] [Abstract][Full Text] [Related]
38. MKRMDA: multiple kernel learning-based Kronecker regularized least squares for MiRNA-disease association prediction.
Chen X; Niu YW; Wang GH; Yan GY
J Transl Med; 2017 Dec; 15(1):251. PubMed ID: 29233191
[TBL] [Abstract][Full Text] [Related]
39. 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]
40. A clustering-based sampling method for miRNA-disease association prediction.
Wei Z; Yao D; Zhan X; Zhang S
Front Genet; 2022; 13():995535. PubMed ID: 36176298
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]