167 related articles for article (PubMed ID: 38129810)
1. Inferring circRNA-drug sensitivity associations via dual hierarchical attention networks and multiple kernel fusion.
Lu S; Liang Y; Li L; Liao S; Zou Y; Yang C; Ouyang D
BMC Genomics; 2023 Dec; 24(1):796. PubMed ID: 38129810
[TBL] [Abstract][Full Text] [Related]
2. Predicting circRNA-drug sensitivity associations by learning multimodal networks using graph auto-encoders and attention mechanism.
Yang B; Chen H
Brief Bioinform; 2023 Jan; 24(1):. PubMed ID: 36617209
[TBL] [Abstract][Full Text] [Related]
3. MNCLCDA: predicting circRNA-drug sensitivity associations by using mixed neighbourhood information and contrastive learning.
Li G; Zeng F; Luo J; Liang C; Xiao Q
BMC Med Inform Decis Mak; 2023 Dec; 23(1):291. PubMed ID: 38110886
[TBL] [Abstract][Full Text] [Related]
4. Inferring human miRNA-disease associations via multiple kernel fusion on GCNII.
Lu S; Liang Y; Li L; Liao S; Ouyang D
Front Genet; 2022; 13():980497. PubMed ID: 36134032
[TBL] [Abstract][Full Text] [Related]
5. Prediction of circRNA-Disease Associations Based on the Combination of Multi-Head Graph Attention Network and Graph Convolutional Network.
Cao R; He C; Wei P; Su Y; Xia J; Zheng C
Biomolecules; 2022 Jul; 12(7):. PubMed ID: 35883487
[TBL] [Abstract][Full Text] [Related]
6. DWNN-RLS: regularized least squares method for predicting circRNA-disease associations.
Yan C; Wang J; Wu FX
BMC Bioinformatics; 2018 Dec; 19(Suppl 19):520. PubMed ID: 30598076
[TBL] [Abstract][Full Text] [Related]
7. MDGF-MCEC: a multi-view dual attention embedding model with cooperative ensemble learning for CircRNA-disease association prediction.
Wu Q; Deng Z; Pan X; Shen HB; Choi KS; Wang S; Wu J; Yu DJ
Brief Bioinform; 2022 Sep; 23(5):. PubMed ID: 35907779
[TBL] [Abstract][Full Text] [Related]
8. Predicting circRNA-drug sensitivity associations via graph attention auto-encoder.
Deng L; Liu Z; Qian Y; Zhang J
BMC Bioinformatics; 2022 May; 23(1):160. PubMed ID: 35508967
[TBL] [Abstract][Full Text] [Related]
9. circRNA-binding protein site prediction based on multi-view deep learning, subspace learning and multi-view classifier.
Li H; Deng Z; Yang H; Pan X; Wei Z; Shen HB; Choi KS; Wang L; Wang S; Wu J
Brief Bioinform; 2022 Jan; 23(1):. PubMed ID: 34571539
[TBL] [Abstract][Full Text] [Related]
10. DPMGCDA: Deciphering circRNA-Drug Sensitivity Associations with Dual Perspective Learning and Path-Masked Graph Autoencoder.
Luo Y; Deng L
J Chem Inf Model; 2024 May; 64(10):4359-4372. PubMed ID: 38745420
[TBL] [Abstract][Full Text] [Related]
11. Predicting circRNA-drug resistance associations based on a multimodal graph representation learning framework.
Liu Z; Dai Q; Yu X; Duan X; Wang C
IEEE J Biomed Health Inform; 2023 Jul; PP():. PubMed ID: 37498762
[TBL] [Abstract][Full Text] [Related]
12. Inferring disease-associated circRNAs by multi-source aggregation based on heterogeneous graph neural network.
Lu C; Zhang L; Zeng M; Lan W; Duan G; Wang J
Brief Bioinform; 2023 Jan; 24(1):. PubMed ID: 36572658
[TBL] [Abstract][Full Text] [Related]
13. Prioritizing CircRNA-Disease Associations With Convolutional Neural Network Based on Multiple Similarity Feature Fusion.
Fan C; Lei X; Pan Y
Front Genet; 2020; 11():540751. PubMed ID: 33193615
[TBL] [Abstract][Full Text] [Related]
14. GEHGAN: CircRNA-disease association prediction via graph embedding and heterogeneous graph attention network.
Wang Y; Lu P
Comput Biol Chem; 2024 Jun; 110():108079. PubMed ID: 38704917
[TBL] [Abstract][Full Text] [Related]
15. Collaborative deep learning improves disease-related circRNA prediction based on multi-source functional information.
Wang Y; Liu X; Shen Y; Song X; Wang T; Shang X; Peng J
Brief Bioinform; 2023 Mar; 24(2):. PubMed ID: 36847701
[TBL] [Abstract][Full Text] [Related]
16. GCNCDA: A new method for predicting circRNA-disease associations based on Graph Convolutional Network Algorithm.
Wang L; You ZH; Li YM; Zheng K; Huang YA
PLoS Comput Biol; 2020 May; 16(5):e1007568. PubMed ID: 32433655
[TBL] [Abstract][Full Text] [Related]
17. DeepWalk-aware graph attention networks with CNN for circRNA-drug sensitivity association identification.
Li G; Li Y; Liang C; Luo J
Brief Funct Genomics; 2023 Dec; ():. PubMed ID: 38061910
[TBL] [Abstract][Full Text] [Related]
18. iCDA-CMG: identifying circRNA-disease associations by federating multi-similarity fusion and collective matrix completion.
Xiao Q; Zhong J; Tang X; Luo J
Mol Genet Genomics; 2021 Jan; 296(1):223-233. PubMed ID: 33159254
[TBL] [Abstract][Full Text] [Related]
19. NSL2CD: identifying potential circRNA-disease associations based on network embedding and subspace learning.
Xiao Q; Fu Y; Yang Y; Dai J; Luo J
Brief Bioinform; 2021 Nov; 22(6):. PubMed ID: 33954582
[TBL] [Abstract][Full Text] [Related]
20. Predicting CircRNA-Disease Associations via Feature Convolution Learning With Heterogeneous Graph Attention Network.
Peng L; Yang C; Chen Y; Liu W
IEEE J Biomed Health Inform; 2023 Jun; 27(6):3072-3082. PubMed ID: 37030839
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
