182 related articles for article (PubMed ID: 37332057)
1. DAmiRLocGNet: miRNA subcellular localization prediction by combining miRNA-disease associations and graph convolutional networks.
Bai T; Yan K; Liu B
Brief Bioinform; 2023 Jul; 24(4):. PubMed ID: 37332057
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Variational graph auto-encoders for miRNA-disease association prediction.
Ding Y; Tian LP; Lei X; Liao B; Wu FX
Methods; 2021 Aug; 192():25-34. PubMed ID: 32798654
[TBL] [Abstract][Full Text] [Related]
4. iPiDA-GCN: Identification of piRNA-disease associations based on Graph Convolutional Network.
Hou J; Wei H; Liu B
PLoS Comput Biol; 2022 Oct; 18(10):e1010671. PubMed ID: 36301998
[TBL] [Abstract][Full Text] [Related]
5. MDA-GCNFTG: identifying miRNA-disease associations based on graph convolutional networks via graph sampling through the feature and topology graph.
Chu Y; Wang X; Dai Q; Wang Y; Wang Q; Peng S; Wei X; Qiu J; Salahub DR; Xiong Y; Wei DQ
Brief Bioinform; 2021 Nov; 22(6):. PubMed ID: 34009265
[TBL] [Abstract][Full Text] [Related]
6. GCAEMDA: Predicting miRNA-disease associations via graph convolutional autoencoder.
Li L; Wang YT; Ji CM; Zheng CH; Ni JC; Su YS
PLoS Comput Biol; 2021 Dec; 17(12):e1009655. PubMed ID: 34890410
[TBL] [Abstract][Full Text] [Related]
7. Prediction of miRNA-disease associations in microbes based on graph convolutional networks and autoencoders.
Liao Q; Ye Y; Li Z; Chen H; Zhuo L
Front Microbiol; 2023; 14():1170559. PubMed ID: 37187536
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Multi-view Multichannel Attention Graph Convolutional Network for miRNA-disease association prediction.
Tang X; Luo J; Shen C; Lai Z
Brief Bioinform; 2021 Nov; 22(6):. PubMed ID: 33963829
[TBL] [Abstract][Full Text] [Related]
10. ReHoGCNES-MDA: prediction of miRNA-disease associations using homogenous graph convolutional networks based on regular graph with random edge sampler.
Zhang Y; Chu Y; Lin S; Xiong Y; Wei DQ
Brief Bioinform; 2024 Jan; 25(2):. PubMed ID: 38517693
[TBL] [Abstract][Full Text] [Related]
11. MHDMF: Prediction of miRNA-disease associations based on Deep Matrix Factorization with Multi-source Graph Convolutional Network.
Ai N; Liang Y; Yuan HL; Ou-Yang D; Liu XY; Xie SL; Ji YH
Comput Biol Med; 2022 Oct; 149():106069. PubMed ID: 36115300
[TBL] [Abstract][Full Text] [Related]
12. FCGCNMDA: predicting miRNA-disease associations by applying fully connected graph convolutional networks.
Li J; Li Z; Nie R; You Z; Bao W
Mol Genet Genomics; 2020 Sep; 295(5):1197-1209. PubMed ID: 32500265
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. AEMDA: inferring miRNA-disease associations based on deep autoencoder.
Ji C; Gao Z; Ma X; Wu Q; Ni J; Zheng C
Bioinformatics; 2021 Apr; 37(1):66-72. PubMed ID: 32726399
[TBL] [Abstract][Full Text] [Related]
15. MiRLoc: predicting miRNA subcellular localization by incorporating miRNA-mRNA interactions and mRNA subcellular localization.
Xu M; Chen Y; Xu Z; Zhang L; Jiang H; Pian C
Brief Bioinform; 2022 Mar; 23(2):. PubMed ID: 35183063
[TBL] [Abstract][Full Text] [Related]
16. MirLocPredictor: A ConvNet-Based Multi-Label MicroRNA Subcellular Localization Predictor by Incorporating k-Mer Positional Information.
Asim MN; Malik MI; Zehe C; Trygg J; Dengel A; Ahmed S
Genes (Basel); 2020 Dec; 11(12):. PubMed ID: 33316943
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. 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]
19. Computational method using heterogeneous graph convolutional network model combined with reinforcement layer for MiRNA-disease association prediction.
Huang D; An J; Zhang L; Liu B
BMC Bioinformatics; 2022 Jul; 23(1):299. PubMed ID: 35879658
[TBL] [Abstract][Full Text] [Related]
20. Protein Subcellular Localization Prediction Model Based on Graph Convolutional Network.
Zhang T; Gu J; Wang Z; Wu C; Liang Y; Shi X
Interdiscip Sci; 2022 Dec; 14(4):937-946. PubMed ID: 35713780
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]