BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

663 related articles for article (PubMed ID: 36933628)

  • 1. Local augmented graph neural network for multi-omics cancer prognosis prediction and analysis.
    Zhang Y; Xiong S; Wang Z; Liu Y; Luo H; Li B; Zou Q
    Methods; 2023 May; 213():1-9. PubMed ID: 36933628
    [TBL] [Abstract][Full Text] [Related]  

  • 2. FGCNSurv: dually fused graph convolutional network for multi-omics survival prediction.
    Wen G; Li L
    Bioinformatics; 2023 Aug; 39(8):. PubMed ID: 37522887
    [TBL] [Abstract][Full Text] [Related]  

  • 3. MOGAT: A Multi-Omics Integration Framework Using Graph Attention Networks for Cancer Subtype Prediction.
    Tanvir RB; Islam MM; Sobhan M; Luo D; Mondal AM
    Int J Mol Sci; 2024 Feb; 25(5):. PubMed ID: 38474033
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Geometric graph neural networks on multi-omics data to predict cancer survival outcomes.
    Zhu J; Oh JH; Simhal AK; Elkin R; Norton L; Deasy JO; Tannenbaum A
    Comput Biol Med; 2023 Sep; 163():107117. PubMed ID: 37329617
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Graph Neural Networks With Multiple Prior Knowledge for Multi-Omics Data Analysis.
    Xiao S; Lin H; Wang C; Wang S; Rajapakse JC
    IEEE J Biomed Health Inform; 2023 Sep; 27(9):4591-4600. PubMed ID: 37307177
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A Graph Feature Auto-Encoder for the prediction of unobserved node features on biological networks.
    Hasibi R; Michoel T
    BMC Bioinformatics; 2021 Oct; 22(1):525. PubMed ID: 34706640
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A multimodal graph neural network framework for cancer molecular subtype classification.
    Li B; Nabavi S
    BMC Bioinformatics; 2024 Jan; 25(1):27. PubMed ID: 38225583
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Multi-view graph convolutional network for cancer cell-specific synthetic lethality prediction.
    Fan K; Tang S; Gökbağ B; Cheng L; Li L
    Front Genet; 2022; 13():1103092. PubMed ID: 36699450
    [TBL] [Abstract][Full Text] [Related]  

  • 9. GOAT: Gene-level biomarker discovery from multi-Omics data using graph ATtention neural network for eosinophilic asthma subtype.
    Jeong D; Koo B; Oh M; Kim TB; Kim S
    Bioinformatics; 2023 Oct; 39(10):. PubMed ID: 37740295
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Single-cell multi-omics integration for unpaired data by a siamese network with graph-based contrastive loss.
    Liu C; Wang L; Liu Z
    BMC Bioinformatics; 2023 Jan; 24(1):5. PubMed ID: 36600199
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Combining Neuroimaging and Omics Datasets for Disease Classification Using Graph Neural Networks.
    Chan YH; Wang C; Soh WK; Rajapakse JC
    Front Neurosci; 2022; 16():866666. PubMed ID: 35677355
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Classifying breast cancer using multi-view graph neural network based on multi-omics data.
    Ren Y; Gao Y; Du W; Qiao W; Li W; Yang Q; Liang Y; Li G
    Front Genet; 2024; 15():1363896. PubMed ID: 38444760
    [No Abstract]   [Full Text] [Related]  

  • 13. IMOVNN: incomplete multi-omics data integration variational neural networks for gut microbiome disease prediction and biomarker identification.
    Hu M; Zhu J; Peng G; Lu W; Wang H; Xie Z
    Brief Bioinform; 2023 Sep; 24(6):. PubMed ID: 37930027
    [TBL] [Abstract][Full Text] [Related]  

  • 14. MoGCN: A Multi-Omics Integration Method Based on Graph Convolutional Network for Cancer Subtype Analysis.
    Li X; Ma J; Leng L; Han M; Li M; He F; Zhu Y
    Front Genet; 2022; 13():806842. PubMed ID: 35186034
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Molecular Subtyping of Cancer Based on Robust Graph Neural Network and Multi-Omics Data Integration.
    Yin C; Cao Y; Sun P; Zhang H; Li Z; Xu Y; Sun H
    Front Genet; 2022; 13():884028. PubMed ID: 35646077
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Integrate multi-omics data with biological interaction networks using Multi-view Factorization AutoEncoder (MAE).
    Ma T; Zhang A
    BMC Genomics; 2019 Dec; 20(Suppl 11):944. PubMed ID: 31856727
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Augmented Graph Neural Network with hierarchical global-based residual connections.
    Rassil A; Chougrad H; Zouaki H
    Neural Netw; 2022 Jun; 150():149-166. PubMed ID: 35313247
    [TBL] [Abstract][Full Text] [Related]  

  • 18. The prediction of drug sensitivity by multi-omics fusion reveals the heterogeneity of drug response in pan-cancer.
    Wang C; Zhang M; Zhao J; Li B; Xiao X; Zhang Y
    Comput Biol Med; 2023 Sep; 163():107220. PubMed ID: 37406589
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. A semi-supervised approach for the integration of multi-omics data based on transformer multi-head self-attention mechanism and graph convolutional networks.
    Wang J; Liao N; Du X; Chen Q; Wei B
    BMC Genomics; 2024 Jan; 25(1):86. PubMed ID: 38254021
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 34.