163 related articles for article (PubMed ID: 32351545)
1. MSCHLMDA: Multi-Similarity Based Combinative Hypergraph Learning for Predicting MiRNA-Disease Association.
Wu Q; Wang Y; Gao Z; Ni J; Zheng C
Front Genet; 2020; 11():354. PubMed ID: 32351545
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. AMHMDA: attention aware multi-view similarity networks and hypergraph learning for miRNA-disease associations identification.
Ning Q; Zhao Y; Gao J; Chen C; Li X; Li T; Yin M
Brief Bioinform; 2023 Mar; 24(2):. PubMed ID: 36907654
[TBL] [Abstract][Full Text] [Related]
4. Predicting multiple types of miRNA-disease associations using adaptive weighted nonnegative tensor factorization with self-paced learning and hypergraph regularization.
Ouyang D; Liang Y; Wang J; Liu X; Xie S; Miao R; Ai N; Li L; Dang Q
Brief Bioinform; 2022 Nov; 23(6):. PubMed ID: 36168938
[TBL] [Abstract][Full Text] [Related]
5. Predicting miRNA-Disease Associations by Combining Graph and Hypergraph Convolutional Network.
Liang X; Guo M; Jiang L; Fu Y; Zhang P; Chen Y
Interdiscip Sci; 2024 Jan; ():. PubMed ID: 38286905
[TBL] [Abstract][Full Text] [Related]
6. HGCLAMIR: Hypergraph contrastive learning with attention mechanism and integrated multi-view representation for predicting miRNA-disease associations.
Ouyang D; Liang Y; Wang J; Li L; Ai N; Feng J; Lu S; Liao S; Liu X; Xie S
PLoS Comput Biol; 2024 Apr; 20(4):e1011927. PubMed ID: 38652712
[TBL] [Abstract][Full Text] [Related]
7. MHCLMDA: multihypergraph contrastive learning for miRNA-disease association prediction.
Peng W; He Z; Dai W; Lan W
Brief Bioinform; 2023 Nov; 25(1):. PubMed ID: 38243694
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. 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]
10. 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]
11. ILPMDA: Predicting miRNA-Disease Association Based on Improved Label Propagation.
Wang YT; Li L; Ji CM; Zheng CH; Ni JC
Front Genet; 2021; 12():743665. PubMed ID: 34659364
[TBL] [Abstract][Full Text] [Related]
12. FCMDAP: using miRNA family and cluster information to improve the prediction accuracy of disease related miRNAs.
Li X; Lin Y; Gu C; Yang J
BMC Syst Biol; 2019 Apr; 13(Suppl 2):26. PubMed ID: 30953512
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. RKNNMDA: Ranking-based KNN for MiRNA-Disease Association prediction.
Chen X; Wu QF; Yan GY
RNA Biol; 2017 Jul; 14(7):952-962. PubMed ID: 28421868
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. An integrated framework for the identification of potential miRNA-disease association based on novel negative samples extraction strategy.
Wang CC; Chen X; Yin J; Qu J
RNA Biol; 2019 Mar; 16(3):257-269. PubMed ID: 30646823
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. MLMDA: a machine learning approach to predict and validate MicroRNA-disease associations by integrating of heterogenous information sources.
Zheng K; You ZH; Wang L; Zhou Y; Li LP; Li ZW
J Transl Med; 2019 Aug; 17(1):260. PubMed ID: 31395072
[TBL] [Abstract][Full Text] [Related]
19. LRSSLMDA: Laplacian Regularized Sparse Subspace Learning for MiRNA-Disease Association prediction.
Chen X; Huang L
PLoS Comput Biol; 2017 Dec; 13(12):e1005912. PubMed ID: 29253885
[TBL] [Abstract][Full Text] [Related]
20. EGBMMDA: Extreme Gradient Boosting Machine for MiRNA-Disease Association prediction.
Chen X; Huang L; Xie D; Zhao Q
Cell Death Dis; 2018 Jan; 9(1):3. PubMed ID: 29305594
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]