529 related articles for article (PubMed ID: 29490018)
1. Prediction of potential disease-associated microRNAs using structural perturbation method.
Zeng X; Liu L; Lü L; Zou Q
Bioinformatics; 2018 Jul; 34(14):2425-2432. PubMed ID: 29490018
[TBL] [Abstract][Full Text] [Related]
2. Prediction of Potential Disease-Associated MicroRNAs by Using Neural Networks.
Zeng X; Wang W; Deng G; Bing J; Zou Q
Mol Ther Nucleic Acids; 2019 Jun; 16():566-575. PubMed ID: 31077936
[TBL] [Abstract][Full Text] [Related]
3. NTSMDA: prediction of miRNA-disease associations by integrating network topological similarity.
Sun D; Li A; Feng H; Wang M
Mol Biosyst; 2016 Jun; 12(7):2224-32. PubMed ID: 27153230
[TBL] [Abstract][Full Text] [Related]
4. Uncover miRNA-Disease Association by Exploiting Global Network Similarity.
Chen M; Lu X; Liao B; Li Z; Cai L; Gu C
PLoS One; 2016; 11(12):e0166509. PubMed ID: 27907011
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. 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]
7. Prediction of disease-related microRNAs by incorporating functional similarity and common association information.
Han K; Xuan P; Ding J; Zhao ZJ; Hui L; Zhong YL
Genet Mol Res; 2014 Mar; 13(1):2009-19. PubMed ID: 24737426
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. 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]
10. Predicting miRNA-disease association based on inductive matrix completion.
Chen X; Wang L; Qu J; Guan NN; Li JQ
Bioinformatics; 2018 Dec; 34(24):4256-4265. PubMed ID: 29939227
[TBL] [Abstract][Full Text] [Related]
11. FCGCNMDA: predicting miRNA-disease associations by applying fully connected graph convolutional networks.
Li J; Li Z; Nie R; You Z; Bao W
Mol Genet Genomics; 2020 Sep; 295(5):1197-1209. PubMed ID: 32500265
[TBL] [Abstract][Full Text] [Related]
12. Adaptive boosting-based computational model for predicting potential miRNA-disease associations.
Zhao Y; Chen X; Yin J
Bioinformatics; 2019 Nov; 35(22):4730-4738. PubMed ID: 31038664
[TBL] [Abstract][Full Text] [Related]
13. Prediction of potential disease-associated microRNAs based on random walk.
Xuan P; Han K; Guo Y; Li J; Li X; Zhong Y; Zhang Z; Ding J
Bioinformatics; 2015 Jun; 31(11):1805-15. PubMed ID: 25618864
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. 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]
16. 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]
17. Dual Convolutional Neural Network Based Method for Predicting Disease-Related miRNAs.
Xuan P; Dong Y; Guo Y; Zhang T; Liu Y
Int J Mol Sci; 2018 Nov; 19(12):. PubMed ID: 30477152
[TBL] [Abstract][Full Text] [Related]
18. Predicting Disease Related microRNA Based on Similarity and Topology.
Chen Z; Wang X; Gao P; Liu H; Song B
Cells; 2019 Nov; 8(11):. PubMed ID: 31703479
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. A Novel Neighborhood-Based Computational Model for Potential MiRNA-Disease Association Prediction.
Liu Y; Li X; Feng X; Wang L
Comput Math Methods Med; 2019; 2019():5145646. PubMed ID: 30800172
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
