384 related articles for article (PubMed ID: 32260218)
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. BNPMDA: Bipartite Network Projection for MiRNA-Disease Association prediction.
Chen X; Xie D; Wang L; Zhao Q; You ZH; Liu H
Bioinformatics; 2018 Sep; 34(18):3178-3186. PubMed ID: 29701758
[TBL] [Abstract][Full Text] [Related]
23. 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]
24. 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]
25. Prediction of microRNA-disease associations based on distance correlation set.
Zhao H; Kuang L; Wang L; Ping P; Xuan Z; Pei T; Wu Z
BMC Bioinformatics; 2018 Apr; 19(1):141. PubMed ID: 29665774
[TBL] [Abstract][Full Text] [Related]
26. SNMFSMMA: using symmetric nonnegative matrix factorization and Kronecker regularized least squares to predict potential small molecule-microRNA association.
Zhao Y; Chen X; Yin J; Qu J
RNA Biol; 2020 Feb; 17(2):281-291. PubMed ID: 31739716
[TBL] [Abstract][Full Text] [Related]
27. MDMF: Predicting miRNA-Disease Association Based on Matrix Factorization with Disease Similarity Constraint.
Ha J
J Pers Med; 2022 May; 12(6):. PubMed ID: 35743670
[TBL] [Abstract][Full Text] [Related]
28. PBMDA: A novel and effective path-based computational model for miRNA-disease association prediction.
You ZH; Huang ZA; Zhu Z; Yan GY; Li ZW; Wen Z; Chen X
PLoS Comput Biol; 2017 Mar; 13(3):e1005455. PubMed ID: 28339468
[TBL] [Abstract][Full Text] [Related]
29. 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]
30. Integration of Multiple Genomic and Phenotype Data to Infer Novel miRNA-Disease Associations.
Shi H; Zhang G; Zhou M; Cheng L; Yang H; Wang J; Sun J; Wang Z
PLoS One; 2016; 11(2):e0148521. PubMed ID: 26849207
[TBL] [Abstract][Full Text] [Related]
31. MicroRNAs and complex diseases: from experimental results to computational models.
Chen X; Xie D; Zhao Q; You ZH
Brief Bioinform; 2019 Mar; 20(2):515-539. PubMed ID: 29045685
[TBL] [Abstract][Full Text] [Related]
32. Predicting microRNA-disease associations using label propagation based on linear neighborhood similarity.
Li G; Luo J; Xiao Q; Liang C; Ding P
J Biomed Inform; 2018 Jun; 82():169-177. PubMed ID: 29763707
[TBL] [Abstract][Full Text] [Related]
33. 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]
34. FMSM: a novel computational model for predicting potential miRNA biomarkers for various human diseases.
Sun Y; Zhu Z; You ZH; Zeng Z; Huang ZA; Huang YA
BMC Syst Biol; 2018 Dec; 12(Suppl 9):121. PubMed ID: 30598090
[TBL] [Abstract][Full Text] [Related]
35. 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]
36. NPCMF: Nearest Profile-based Collaborative Matrix Factorization method for predicting miRNA-disease associations.
Gao YL; Cui Z; Liu JX; Wang J; Zheng CH
BMC Bioinformatics; 2019 Jun; 20(1):353. PubMed ID: 31234797
[TBL] [Abstract][Full Text] [Related]
37. 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]
38. 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]
39. Predicting miRNA-disease associations based on PPMI and attention network.
Xie X; Wang Y; He K; Sheng N
BMC Bioinformatics; 2023 Mar; 24(1):113. PubMed ID: 36959547
[TBL] [Abstract][Full Text] [Related]
40. 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]
[Previous] [Next] [New Search]