198 related articles for article (PubMed ID: 36413746)
1. Dual-Channel Heterogeneous Graph Neural Network for Predicting microRNA-Mediated Drug Sensitivity.
Deng L; Fan Z; Xiao X; Liu H; Zhang J
J Chem Inf Model; 2022 Dec; 62(23):5929-5937. PubMed ID: 36413746
[TBL] [Abstract][Full Text] [Related]
2. Adaptive deep propagation graph neural network for predicting miRNA-disease associations.
Hu H; Zhao H; Zhong T; Dong X; Wang L; Han P; Li Z
Brief Funct Genomics; 2023 Nov; 22(5):453-462. PubMed ID: 37078739
[TBL] [Abstract][Full Text] [Related]
3. Toward drug-miRNA resistance association prediction by positional encoding graph neural network and multi-channel neural network.
Zhao C; Wang H; Qi W; Liu S
Methods; 2022 Nov; 207():81-89. PubMed ID: 36167292
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Multi-task prediction-based graph contrastive learning for inferring the relationship among lncRNAs, miRNAs and diseases.
Sheng N; Wang Y; Huang L; Gao L; Cao Y; Xie X; Fu Y
Brief Bioinform; 2023 Sep; 24(5):. PubMed ID: 37529914
[TBL] [Abstract][Full Text] [Related]
6. Predicting MiRNA-disease associations by multiple meta-paths fusion graph embedding model.
Zhang L; Liu B; Li Z; Zhu X; Liang Z; An J
BMC Bioinformatics; 2020 Oct; 21(1):470. PubMed ID: 33087064
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. PDSM-LGCN: Prediction of drug sensitivity associated microRNAs via light graph convolution neural network.
Deng L; Fan Z; Xu H; Yu S
Methods; 2022 Sep; 205():106-113. PubMed ID: 35753591
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. HLGNN-MDA: Heuristic Learning Based on Graph Neural Networks for miRNA-Disease Association Prediction.
Yu L; Ju B; Ren S
Int J Mol Sci; 2022 Oct; 23(21):. PubMed ID: 36361945
[TBL] [Abstract][Full Text] [Related]
11. Graph embedding ensemble methods based on the heterogeneous network for lncRNA-miRNA interaction prediction.
Zhao C; Qiu Y; Zhou S; Liu S; Zhang W; Niu Y
BMC Genomics; 2020 Dec; 21(Suppl 13):867. PubMed ID: 33334307
[TBL] [Abstract][Full Text] [Related]
12. DAEMDA: A Method with Dual-Channel Attention Encoding for miRNA-Disease Association Prediction.
Dong B; Sun W; Xu D; Wang G; Zhang T
Biomolecules; 2023 Oct; 13(10):. PubMed ID: 37892196
[TBL] [Abstract][Full Text] [Related]
13. Predicting miRNA-disease associations via learning multimodal networks and fusing mixed neighborhood information.
Lou Z; Cheng Z; Li H; Teng Z; Liu Y; Tian Z
Brief Bioinform; 2022 Sep; 23(5):. PubMed ID: 35524503
[TBL] [Abstract][Full Text] [Related]
14. PDMDA: predicting deep-level miRNA-disease associations with graph neural networks and sequence features.
Yan C; Duan G; Li N; Zhang L; Wu FX; Wang J
Bioinformatics; 2022 Apr; 38(8):2226-2234. PubMed ID: 35150255
[TBL] [Abstract][Full Text] [Related]
15. SGNNMD: signed graph neural network for predicting deregulation types of miRNA-disease associations.
Zhang G; Li M; Deng H; Xu X; Liu X; Zhang W
Brief Bioinform; 2022 Jan; 23(1):. PubMed ID: 34875683
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Using Network Distance Analysis to Predict lncRNA-miRNA Interactions.
Zhang L; Yang P; Feng H; Zhao Q; Liu H
Interdiscip Sci; 2021 Sep; 13(3):535-545. PubMed ID: 34232474
[TBL] [Abstract][Full Text] [Related]
18. Multi-channel graph attention autoencoders for disease-related lncRNAs prediction.
Sheng N; Huang L; Wang Y; Zhao J; Xuan P; Gao L; Cao Y
Brief Bioinform; 2022 Mar; 23(2):. PubMed ID: 35108355
[TBL] [Abstract][Full Text] [Related]
19. NMCMDA: neural multicategory MiRNA-disease association prediction.
Wang J; Li J; Yue K; Wang L; Ma Y; Li Q
Brief Bioinform; 2021 Sep; 22(5):. PubMed ID: 33778850
[TBL] [Abstract][Full Text] [Related]
20. Predicting miRNA-disease association from heterogeneous information network with GraRep embedding model.
Ji BY; You ZH; Cheng L; Zhou JR; Alghazzawi D; Li LP
Sci Rep; 2020 Apr; 10(1):6658. PubMed ID: 32313121
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
