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 *

502 related articles for article (PubMed ID: 35428964)

  • 41. 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]  

  • 42. MLFLHMDA: predicting human microbe-disease association based on multi-view latent feature learning.
    Chen Z; Zhang L; Li J; Fu M
    Front Microbiol; 2024; 15():1353278. PubMed ID: 38371933
    [TBL] [Abstract][Full Text] [Related]  

  • 43. 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]  

  • 44. CNNDLP: A Method Based on Convolutional Autoencoder and Convolutional Neural Network with Adjacent Edge Attention for Predicting lncRNA-Disease Associations.
    Xuan P; Sheng N; Zhang T; Liu Y; Guo Y
    Int J Mol Sci; 2019 Aug; 20(17):. PubMed ID: 31480319
    [TBL] [Abstract][Full Text] [Related]  

  • 45. 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]  

  • 46. Prediction of Microbe-Disease Associations by Graph Regularized Non-Negative Matrix Factorization.
    Liu Y; Wang SL; Zhang JF
    J Comput Biol; 2018 Aug; ():. PubMed ID: 30106318
    [TBL] [Abstract][Full Text] [Related]  

  • 47. Gating-Enhanced Hierarchical Structure Learning in Hyperbolic Space and Multi-scale Neighbor Topology Learning in Euclidean Space for Prediction of Microbe-Drug Associations.
    Xuan P; Guan C; Chen S; Gu J; Wang X; Nakaguchi T; Zhang T
    J Chem Inf Model; 2024 Oct; 64(19):7806-7815. PubMed ID: 39324410
    [TBL] [Abstract][Full Text] [Related]  

  • 48. Heterogeneous graph neural network for lncRNA-disease association prediction.
    Shi H; Zhang X; Tang L; Liu L
    Sci Rep; 2022 Oct; 12(1):17519. PubMed ID: 36266433
    [TBL] [Abstract][Full Text] [Related]  

  • 49. LR-GNN: a graph neural network based on link representation for predicting molecular associations.
    Kang C; Zhang H; Liu Z; Huang S; Yin Y
    Brief Bioinform; 2022 Jan; 23(1):. PubMed ID: 34889446
    [TBL] [Abstract][Full Text] [Related]  

  • 50. MGATMDA: Predicting Microbe-Disease Associations via Multi-Component Graph Attention Network.
    Liu D; Liu J; Luo Y; He Q; Deng L
    IEEE/ACM Trans Comput Biol Bioinform; 2022; 19(6):3578-3585. PubMed ID: 34587092
    [TBL] [Abstract][Full Text] [Related]  

  • 51. Multi-Similarities Bilinear Matrix Factorization-Based Method for Predicting Human Microbe-Disease Associations.
    Yang X; Kuang L; Chen Z; Wang L
    Front Genet; 2021; 12():754425. PubMed ID: 34721543
    [TBL] [Abstract][Full Text] [Related]  

  • 52. MADGAN:A microbe-disease association prediction model based on generative adversarial networks.
    Hu W; Yang X; Wang L; Zhu X
    Front Microbiol; 2023; 14():1159076. PubMed ID: 37032881
    [TBL] [Abstract][Full Text] [Related]  

  • 53. A deep learning method for predicting metabolite-disease associations via graph neural network.
    Sun F; Sun J; Zhao Q
    Brief Bioinform; 2022 Jul; 23(4):. PubMed ID: 35817399
    [TBL] [Abstract][Full Text] [Related]  

  • 54. Graph2MDA: a multi-modal variational graph embedding model for predicting microbe-drug associations.
    Deng L; Huang Y; Liu X; Liu H
    Bioinformatics; 2022 Jan; 38(4):1118-1125. PubMed ID: 34864873
    [TBL] [Abstract][Full Text] [Related]  

  • 55. SMGCN: Multiple Similarity and Multiple Kernel Fusion Based Graph Convolutional Neural Network for Drug-Target Interactions Prediction.
    Wang W; Yu M; Sun B; Li J; Liu D; Zhang H; Wang X; Zhou Y
    IEEE/ACM Trans Comput Biol Bioinform; 2024; 21(1):143-154. PubMed ID: 38051618
    [TBL] [Abstract][Full Text] [Related]  

  • 56. GATNNCDA: A Method Based on Graph Attention Network and Multi-Layer Neural Network for Predicting circRNA-Disease Associations.
    Ji C; Liu Z; Wang Y; Ni J; Zheng C
    Int J Mol Sci; 2021 Aug; 22(16):. PubMed ID: 34445212
    [TBL] [Abstract][Full Text] [Related]  

  • 57. 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]  

  • 58. Prediction of microbe-drug associations based on a modified graph attention variational autoencoder and random forest.
    Wang B; Ma F; Du X; Zhang G; Li J
    Front Microbiol; 2024; 15():1394302. PubMed ID: 38881658
    [TBL] [Abstract][Full Text] [Related]  

  • 59. MGEGFP: a multi-view graph embedding method for gene function prediction based on adaptive estimation with GCN.
    Li W; Zhang H; Li M; Han M; Yin Y
    Brief Bioinform; 2022 Sep; 23(5):. PubMed ID: 35947989
    [TBL] [Abstract][Full Text] [Related]  

  • 60. Identifying Associations between Small Nucleolar RNAs and Diseases via Graph Convolutional Network and Attention Mechanism.
    Liu S; Zhu W; Wang P; Yu S; Wu F
    IEEE J Biomed Health Inform; 2024 Jul; PP():. PubMed ID: 38980776
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 26.