BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

186 related articles for article (PubMed ID: 36142140)

  • 1. omicsGAT: Graph Attention Network for Cancer Subtype Analyses.
    Baul S; Ahmed KT; Filipek J; Zhang W
    Int J Mol Sci; 2022 Sep; 23(18):. PubMed ID: 36142140
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. 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]  

  • 4. Attention-based deep clustering method for scRNA-seq cell type identification.
    Li S; Guo H; Zhang S; Li Y; Li M
    PLoS Comput Biol; 2023 Nov; 19(11):e1011641. PubMed ID: 37948464
    [TBL] [Abstract][Full Text] [Related]  

  • 5. NESM: a network embedding method for tumor stratification by integrating multi-omics data.
    Li F; Sun Z; Liu JX; Shang J; Dai L; Liu X; Li Y
    G3 (Bethesda); 2022 Nov; 12(11):. PubMed ID: 36124952
    [TBL] [Abstract][Full Text] [Related]  

  • 6. MultiGATAE: A Novel Cancer Subtype Identification Method Based on Multi-Omics and Attention Mechanism.
    Zhang G; Peng Z; Yan C; Wang J; Luo J; Luo H
    Front Genet; 2022; 13():855629. PubMed ID: 35391797
    [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. Single-cell RNA-seq data analysis based on directed graph neural network.
    Feng X; Zhang H; Lin H; Long H
    Methods; 2023 Mar; 211():48-60. PubMed ID: 36804214
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Single-cell RNA-sequencing data clustering using variational graph attention auto-encoder with self-supervised leaning.
    Li B; Peng C; You Z; Zhang X; Zhang S
    Brief Bioinform; 2023 Sep; 24(6):. PubMed ID: 37898127
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Cancer Subtype Recognition Based on Laplacian Rank Constrained Multiview Clustering.
    Ge S; Wang X; Cheng Y; Liu J
    Genes (Basel); 2021 Apr; 12(4):. PubMed ID: 33916856
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Single-Cell Clustering Based on Shared Nearest Neighbor and Graph Partitioning.
    Zhu X; Zhang J; Xu Y; Wang J; Peng X; Li HD
    Interdiscip Sci; 2020 Jun; 12(2):117-130. PubMed ID: 32086753
    [TBL] [Abstract][Full Text] [Related]  

  • 13. ScGSLC: An unsupervised graph similarity learning framework for single-cell RNA-seq data clustering.
    Li J; Jiang W; Han H; Liu J; Liu B; Wang Y
    Comput Biol Chem; 2021 Feb; 90():107415. PubMed ID: 33307360
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Adaptive graph convolutional clustering network with optimal probabilistic graph.
    Zhao J; Guo J; Sun Y; Gao J; Wang S; Yin B
    Neural Netw; 2022 Dec; 156():271-284. PubMed ID: 36306688
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Single-cell RNA-seq data analysis using graph autoencoders and graph attention networks.
    Feng X; Fang F; Long H; Zeng R; Yao Y
    Front Genet; 2022; 13():1003711. PubMed ID: 36568390
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Graph attention network for link prediction of gene regulations from single-cell RNA-sequencing data.
    Chen G; Liu ZP
    Bioinformatics; 2022 Sep; 38(19):4522-4529. PubMed ID: 35961023
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. GE-Impute: graph embedding-based imputation for single-cell RNA-seq data.
    Wu X; Zhou Y
    Brief Bioinform; 2022 Sep; 23(5):. PubMed ID: 35901457
    [TBL] [Abstract][Full Text] [Related]  

  • 19. scMGCN: A Multi-View Graph Convolutional Network for Cell Type Identification in scRNA-seq Data.
    Sun H; Qu H; Duan K; Du W
    Int J Mol Sci; 2024 Feb; 25(4):. PubMed ID: 38396909
    [TBL] [Abstract][Full Text] [Related]  

  • 20. SIG: Graph-Based Cancer Subtype Stratification With Gene Mutation Structural Information.
    Zhang C; Li W; Deng M; Jiang Y; Cui X; Chen P
    IEEE/ACM Trans Comput Biol Bioinform; 2024 Jun; PP():. PubMed ID: 38875076
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.