329 related articles for article (PubMed ID: 34134612)
21. Dual Convolutional Neural Networks With Attention Mechanisms Based Method for Predicting Disease-Related lncRNA Genes.
Xuan P; Cao Y; Zhang T; Kong R; Zhang Z
Front Genet; 2019; 10():416. PubMed ID: 31130990
[TBL] [Abstract][Full Text] [Related]
22. Prediction of lncRNA-disease association based on a Laplace normalized random walk with restart algorithm on heterogeneous networks.
Wang L; Shang M; Dai Q; He PA
BMC Bioinformatics; 2022 Jan; 23(1):5. PubMed ID: 34983367
[TBL] [Abstract][Full Text] [Related]
23. Dual Attention Mechanisms and Feature Fusion Networks Based Method for Predicting LncRNA-Disease Associations.
Liu Y; Yu Y; Zhao S
Interdiscip Sci; 2022 Jun; 14(2):358-371. PubMed ID: 35067893
[TBL] [Abstract][Full Text] [Related]
24. DMFLDA: A Deep Learning Framework for Predicting lncRNA-Disease Associations.
Zeng M; Lu C; Fei Z; Wu FX; Li Y; Wang J; Li M
IEEE/ACM Trans Comput Biol Bioinform; 2021; 18(6):2353-2363. PubMed ID: 32248123
[TBL] [Abstract][Full Text] [Related]
25. lncRNA-disease association prediction based on matrix decomposition of elastic network and collaborative filtering.
Wang B; Liu R; Zheng X; Du X; Wang Z
Sci Rep; 2022 Jul; 12(1):12700. PubMed ID: 35882886
[TBL] [Abstract][Full Text] [Related]
26. LDNFSGB: prediction of long non-coding rna and disease association using network feature similarity and gradient boosting.
Zhang Y; Ye F; Xiong D; Gao X
BMC Bioinformatics; 2020 Sep; 21(1):377. PubMed ID: 32883200
[TBL] [Abstract][Full Text] [Related]
27. NCPHLDA: a novel method for human lncRNA-disease association prediction based on network consistency projection.
Xie G; Huang Z; Liu Z; Lin Z; Ma L
Mol Omics; 2019 Dec; 15(6):442-450. PubMed ID: 31686064
[TBL] [Abstract][Full Text] [Related]
28. HOPEXGB: A Consensual Model for Predicting miRNA/lncRNA-Disease Associations Using a Heterogeneous Disease-miRNA-lncRNA Information Network.
He J; Li M; Qiu J; Pu X; Guo Y
J Chem Inf Model; 2024 Apr; 64(7):2863-2877. PubMed ID: 37604142
[TBL] [Abstract][Full Text] [Related]
29. Graph Triple-Attention Network for Disease-Related LncRNA Prediction.
Xuan P; Zhan L; Cui H; Zhang T; Nakaguchi T; Zhang W
IEEE J Biomed Health Inform; 2022 Jun; 26(6):2839-2849. PubMed ID: 34813484
[TBL] [Abstract][Full Text] [Related]
30. Fully connected autoencoder and convolutional neural network with attention-based method for inferring disease-related lncRNAs.
Xuan P; Gong Z; Cui H; Li B; Zhang T
Brief Bioinform; 2022 May; 23(3):. PubMed ID: 35362511
[TBL] [Abstract][Full Text] [Related]
31. Predicting Human lncRNA-Disease Associations Based on Geometric Matrix Completion.
Lu C; Yang M; Li M; Li Y; Wu FX; Wang J
IEEE J Biomed Health Inform; 2020 Aug; 24(8):2420-2429. PubMed ID: 31825885
[TBL] [Abstract][Full Text] [Related]
32. DHNLDA: A Novel Deep Hierarchical Network Based Method for Predicting lncRNA-Disease Associations.
Xie F; Yang Z; Song J; Dai Q; Duan X
IEEE/ACM Trans Comput Biol Bioinform; 2022; 19(6):3395-3403. PubMed ID: 34543201
[TBL] [Abstract][Full Text] [Related]
33. BiGAN: LncRNA-disease association prediction based on bidirectional generative adversarial network.
Yang Q; Li X
BMC Bioinformatics; 2021 Jun; 22(1):357. PubMed ID: 34193046
[TBL] [Abstract][Full Text] [Related]
34. Specific topology and topological connection sensitivity enhanced graph learning for lncRNA-disease association prediction.
Xuan P; Bai H; Cui H; Zhang X; Nakaguchi T; Zhang T
Comput Biol Med; 2023 Sep; 164():107265. PubMed ID: 37531860
[TBL] [Abstract][Full Text] [Related]
35. Laplacian normalization and bi-random walks on heterogeneous networks for predicting lncRNA-disease associations.
Wen Y; Han G; Anh VV
BMC Syst Biol; 2018 Dec; 12(Suppl 9):122. PubMed ID: 30598088
[TBL] [Abstract][Full Text] [Related]
36. Annotating Diseases Using Human Phenotype Ontology Improves Prediction of Disease-Associated Long Non-coding RNAs.
Le DH; Dao LTM
J Mol Biol; 2018 Jul; 430(15):2219-2230. PubMed ID: 29758261
[TBL] [Abstract][Full Text] [Related]
37. MCA-Net: Multi-Feature Coding and Attention Convolutional Neural Network for Predicting lncRNA-Disease Association.
Zhang Y; Ye F; Gao X
IEEE/ACM Trans Comput Biol Bioinform; 2022; 19(5):2907-2919. PubMed ID: 34283719
[TBL] [Abstract][Full Text] [Related]
38. PLAIDOH: a novel method for functional prediction of long non-coding RNAs identifies cancer-specific LncRNA activities.
Pyfrom SC; Luo H; Payton JE
BMC Genomics; 2019 Feb; 20(1):137. PubMed ID: 30767760
[TBL] [Abstract][Full Text] [Related]
39. Data resources and computational methods for lncRNA-disease association prediction.
Sheng N; Huang L; Lu Y; Wang H; Yang L; Gao L; Xie X; Fu Y; Wang Y
Comput Biol Med; 2023 Feb; 153():106527. PubMed ID: 36610216
[TBL] [Abstract][Full Text] [Related]
40. Multi-Label Fusion Collaborative Matrix Factorization for Predicting LncRNA-Disease Associations.
Gao MM; Cui Z; Gao YL; Wang J; Liu JX
IEEE J Biomed Health Inform; 2021 Mar; 25(3):881-890. PubMed ID: 32324583
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
