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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

117 related articles for article (PubMed ID: 36441896)

  • 1. GRA-GCN: Dense Granule Protein Prediction in Apicomplexa Protozoa Through Graph Convolutional Network.
    Shi H; Feng H; Lu Z; Xue W; Yang C; Yue Z
    IEEE/ACM Trans Comput Biol Bioinform; 2023; 20(3):1963-1970. PubMed ID: 36441896
    [TBL] [Abstract][Full Text] [Related]  

  • 2. PredinID: Predicting Pathogenic Inframe Indels in Human Through Graph Convolution Neural Network With Graph Sampling Technique.
    Yue Z; Xiang Y; Chen G; Wang X; Li K; Zhang Y
    IEEE/ACM Trans Comput Biol Bioinform; 2023; 20(5):3226-3233. PubMed ID: 37040252
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Development and validation of a machine learning algorithm prediction for dense granule proteins in Apicomplexa.
    Lu Z; Hu H; Song Y; Zhou S; Ayanniyi OO; Xu Q; Yue Z; Yang C
    Parasit Vectors; 2023 Mar; 16(1):98. PubMed ID: 36918932
    [TBL] [Abstract][Full Text] [Related]  

  • 4. DGPD: a knowledge database of dense granule proteins of the Apicomplexa.
    Hu H; Lu Z; Feng H; Chen G; Wang Y; Yang C; Yue Z
    Database (Oxford); 2022 Sep; 2022():. PubMed ID: 36164976
    [TBL] [Abstract][Full Text] [Related]  

  • 5. MAMF-GCN: Multi-scale adaptive multi-channel fusion deep graph convolutional network for predicting mental disorder.
    Pan J; Lin H; Dong Y; Wang Y; Ji Y
    Comput Biol Med; 2022 Sep; 148():105823. PubMed ID: 35872410
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Exploring the role of edge distribution in graph convolutional networks.
    He L; Bai L; Yang X; Liang Z; Liang J
    Neural Netw; 2023 Nov; 168():459-470. PubMed ID: 37806139
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Predicting CircRNA disease associations using novel node classification and link prediction models on Graph Convolutional Networks.
    Bamunu Mudiyanselage T; Lei X; Senanayake N; Zhang Y; Pan Y
    Methods; 2022 Feb; 198():32-44. PubMed ID: 34748953
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Graph embedding-based novel protein interaction prediction via higher-order graph convolutional network.
    Xiao Z; Deng Y
    PLoS One; 2020; 15(9):e0238915. PubMed ID: 32970681
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A Convolutional Neural Network and Graph Convolutional Network Based Framework for Classification of Breast Histopathological Images.
    Gao Z; Lu Z; Wang J; Ying S; Shi J
    IEEE J Biomed Health Inform; 2022 Jul; 26(7):3163-3173. PubMed ID: 35196251
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Dynamic Dense Graph Convolutional Network for Skeleton-Based Human Motion Prediction.
    Wang X; Zhang W; Wang C; Gao Y; Liu M
    IEEE Trans Image Process; 2024; 33():1-15. PubMed ID: 38019621
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. MVS-GCN: A prior brain structure learning-guided multi-view graph convolution network for autism spectrum disorder diagnosis.
    Wen G; Cao P; Bao H; Yang W; Zheng T; Zaiane O
    Comput Biol Med; 2022 Mar; 142():105239. PubMed ID: 35066446
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Efficient graph convolutional networks for seizure prediction using scalp EEG.
    Jia M; Liu W; Duan J; Chen L; Chen CLP; Wang Q; Zhou Z
    Front Neurosci; 2022; 16():967116. PubMed ID: 35979333
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Unsupervised domain selective graph convolutional network for preoperative prediction of lymph node metastasis in gastric cancer.
    Zhang Y; Yuan N; Zhang Z; Du J; Wang T; Liu B; Yang A; Lv K; Ma G; Lei B
    Med Image Anal; 2022 Jul; 79():102467. PubMed ID: 35537338
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Prediction of drug-disease associations based on reinforcement symmetric metric learning and graph convolution network.
    Luo H; Zhu C; Wang J; Zhang G; Luo J; Yan C
    Front Pharmacol; 2024; 15():1337764. PubMed ID: 38384286
    [TBL] [Abstract][Full Text] [Related]  

  • 16. GraphCDA: a hybrid graph representation learning framework based on GCN and GAT for predicting disease-associated circRNAs.
    Dai Q; Liu Z; Wang Z; Duan X; Guo M
    Brief Bioinform; 2022 Sep; 23(5):. PubMed ID: 36070619
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Hi-GCN: A hierarchical graph convolution network for graph embedding learning of brain network and brain disorders prediction.
    Jiang H; Cao P; Xu M; Yang J; Zaiane O
    Comput Biol Med; 2020 Dec; 127():104096. PubMed ID: 33166800
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Learning View-Based Graph Convolutional Network for Multi-View 3D Shape Analysis.
    Wei X; Yu R; Sun J
    IEEE Trans Pattern Anal Mach Intell; 2023 Jun; 45(6):7525-7541. PubMed ID: 36374885
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Dynamic network link prediction with node representation learning from graph convolutional networks.
    Mei P; Zhao YH
    Sci Rep; 2024 Jan; 14(1):538. PubMed ID: 38177652
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.