These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
133 related articles for article (PubMed ID: 32648750)
1. Multiview Joint Learning-Based Method for Identifying Small-Molecule-Associated MiRNAs by Integrating Pharmacological, Genomics, and Network Knowledge. Shen C; Luo J; Lai Z; Ding P J Chem Inf Model; 2020 Aug; 60(8):4085-4097. PubMed ID: 32648750 [TBL] [Abstract][Full Text] [Related]
2. Prediction of potential small molecule-miRNA associations based on heterogeneous network representation learning. Li J; Lin H; Wang Y; Li Z; Wu B Front Genet; 2022; 13():1079053. PubMed ID: 36531225 [TBL] [Abstract][Full Text] [Related]
3. Neighborhood-based inference and restricted Boltzmann machine for small molecule-miRNA associations prediction. Qu J; Song Z; Cheng X; Jiang Z; Zhou J PeerJ; 2023; 11():e15889. PubMed ID: 37641598 [TBL] [Abstract][Full Text] [Related]
4. Identification of Small Molecule-miRNA Associations with Graph Regularization Techniques in Heterogeneous Networks. Shen C; Luo J; Ouyang W; Ding P; Wu H J Chem Inf Model; 2020 Dec; 60(12):6709-6721. PubMed ID: 33166451 [TBL] [Abstract][Full Text] [Related]
5. AMCSMMA: Predicting Small Molecule-miRNA Potential Associations Based on Accurate Matrix Completion. Wang S; Ren C; Zhang Y; Pang S; Qiao S; Wu W; Lin B Cells; 2023 Apr; 12(8):. PubMed ID: 37190032 [TBL] [Abstract][Full Text] [Related]
6. Predicting potential small molecule-miRNA associations based on bounded nuclear norm regularization. Chen X; Zhou C; Wang CC; Zhao Y Brief Bioinform; 2021 Nov; 22(6):. PubMed ID: 34404088 [TBL] [Abstract][Full Text] [Related]
7. 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]
8. Heterogeneous graph inference with range constrainted L Wang S; Liu T; Ren C; Zhao Y; Qiao S; Zhang Y; Pang S Comput Biol Chem; 2024 Jun; 110():108078. PubMed ID: 38677013 [TBL] [Abstract][Full Text] [Related]
9. Incorporating Clinical, Chemical and Biological Information for Predicting Small Molecule-microRNA Associations Based on Non-Negative Matrix Factorization. Luo J; Shen C; Lai Z; Cai J; Ding P IEEE/ACM Trans Comput Biol Bioinform; 2021; 18(6):2535-2545. PubMed ID: 32092012 [TBL] [Abstract][Full Text] [Related]
10. Inferring the Disease-Associated miRNAs Based on Network Representation Learning and Convolutional Neural Networks. Xuan P; Sun H; Wang X; Zhang T; Pan S Int J Mol Sci; 2019 Jul; 20(15):. PubMed ID: 31349729 [TBL] [Abstract][Full Text] [Related]
11. Drug repositioning based on the target microRNAs using bilateral-inductive matrix completion. Deepthi K; Jereesh AS Mol Genet Genomics; 2020 Sep; 295(5):1305-1314. PubMed ID: 32583015 [TBL] [Abstract][Full Text] [Related]
12. 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]
13. 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]
14. 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]
15. DAESTB: inferring associations of small molecule-miRNA via a scalable tree boosting model based on deep autoencoder. Peng L; Tu Y; Huang L; Li Y; Fu X; Chen X Brief Bioinform; 2022 Nov; 23(6):. PubMed ID: 36377749 [TBL] [Abstract][Full Text] [Related]
16. Ensemble of kernel ridge regression-based small molecule-miRNA association prediction in human disease. Wang CC; Zhu CC; Chen X Brief Bioinform; 2022 Jan; 23(1):. PubMed ID: 34676393 [TBL] [Abstract][Full Text] [Related]
17. Predicting miRNA-disease associations using a hybrid feature representation in the heterogeneous network. Liu M; Yang J; Wang J; Deng L BMC Med Genomics; 2020 Oct; 13(Suppl 10):153. PubMed ID: 33087118 [TBL] [Abstract][Full Text] [Related]
18. 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]
19. DeepsmirUD: Prediction of Regulatory Effects on microRNA Expression Mediated by Small Molecules Using Deep Learning. Sun J; Ru J; Ramos-Mucci L; Qi F; Chen Z; Chen S; Cribbs AP; Deng L; Wang X Int J Mol Sci; 2023 Jan; 24(3):. PubMed ID: 36768205 [TBL] [Abstract][Full Text] [Related]
20. RFSMMA: A New Computational Model to Identify and Prioritize Potential Small Molecule-MiRNA Associations. Wang CC; Chen X; Qu J; Sun YZ; Li JQ J Chem Inf Model; 2019 Apr; 59(4):1668-1679. PubMed ID: 30840454 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]