BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

372 related articles for article (PubMed ID: 35646077)

  • 1. 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]  

  • 2. 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]  

  • 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. 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]  

  • 5. 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]  

  • 6. 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]  

  • 7. Integration of multi-omics data using adaptive graph learning and attention mechanism for patient classification and biomarker identification.
    Ouyang D; Liang Y; Li L; Ai N; Lu S; Yu M; Liu X; Xie S
    Comput Biol Med; 2023 Sep; 164():107303. PubMed ID: 37586201
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Supervised graph contrastive learning for cancer subtype identification through multi-omics data integration.
    Chen F; Peng W; Dai W; Wei S; Fu X; Liu L; Liu L
    Health Inf Sci Syst; 2024 Dec; 12(1):12. PubMed ID: 38404715
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Capturing the latent space of an Autoencoder for multi-omics integration and cancer subtyping.
    Madhumita ; Paul S
    Comput Biol Med; 2022 Sep; 148():105832. PubMed ID: 35834966
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. 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]  

  • 12. 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]  

  • 13. A universal framework for single-cell multi-omics data integration with graph convolutional networks.
    Gao H; Zhang B; Liu L; Li S; Gao X; Yu B
    Brief Bioinform; 2023 May; 24(3):. PubMed ID: 36929841
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A hierarchical integration deep flexible neural forest framework for cancer subtype classification by integrating multi-omics data.
    Xu J; Wu P; Chen Y; Meng Q; Dawood H; Dawood H
    BMC Bioinformatics; 2019 Oct; 20(1):527. PubMed ID: 31660856
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. A prognostic prediction model for ovarian cancer using a cross-modal view correlation discovery network.
    Wang H; Han X; Ren J; Cheng H; Li H; Li Y; Li X
    Math Biosci Eng; 2024 Jan; 21(1):736-764. PubMed ID: 38303441
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Multi-View Spectral Clustering Based on Multi-Smooth Representation Fusion for Cancer Subtype Prediction.
    Liu J; Ge S; Cheng Y; Wang X
    Front Genet; 2021; 12():718915. PubMed ID: 34552619
    [TBL] [Abstract][Full Text] [Related]  

  • 18. MODILM: towards better complex diseases classification using a novel multi-omics data integration learning model.
    Zhong Y; Peng Y; Lin Y; Chen D; Zhang H; Zheng W; Chen Y; Wu C
    BMC Med Inform Decis Mak; 2023 May; 23(1):82. PubMed ID: 37147619
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Autoencoder-assisted latent representation learning for survival prediction and multi-view clustering on multi-omics cancer subtyping.
    Zhu S; Wang W; Fang W; Cui M
    Math Biosci Eng; 2023 Nov; 20(12):21098-21119. PubMed ID: 38124589
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 19.