BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

229 related articles for article (PubMed ID: 36661313)

  • 1. Adversarial dense graph convolutional networks for single-cell classification.
    Wang K; Li Z; You ZH; Han P; Nie R
    Bioinformatics; 2023 Feb; 39(2):. PubMed ID: 36661313
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Locality preserving dense graph convolutional networks with graph context-aware node representations.
    Liu W; Gong M; Tang Z; Qin AK; Sheng K; Xu M
    Neural Netw; 2021 Nov; 143():108-120. PubMed ID: 34116289
    [TBL] [Abstract][Full Text] [Related]  

  • 3. scBGEDA: deep single-cell clustering analysis via a dual denoising autoencoder with bipartite graph ensemble clustering.
    Wang Y; Yu Z; Li S; Bian C; Liang Y; Wong KC; Li X
    Bioinformatics; 2023 Feb; 39(2):. PubMed ID: 36734596
    [TBL] [Abstract][Full Text] [Related]  

  • 4. scGCL: an imputation method for scRNA-seq data based on graph contrastive learning.
    Xiong Z; Luo J; Shi W; Liu Y; Xu Z; Wang B
    Bioinformatics; 2023 Mar; 39(3):. PubMed ID: 36825817
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Deep structural clustering for single-cell RNA-seq data jointly through autoencoder and graph neural network.
    Gan Y; Huang X; Zou G; Zhou S; Guan J
    Brief Bioinform; 2022 Mar; 23(2):. PubMed ID: 35172334
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Chromatin accessibility prediction via convolutional long short-term memory networks with k-mer embedding.
    Min X; Zeng W; Chen N; Chen T; Jiang R
    Bioinformatics; 2017 Jul; 33(14):i92-i101. PubMed ID: 28881969
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Deep graph representations embed network information for robust disease marker identification.
    Maddouri O; Qian X; Yoon BJ
    Bioinformatics; 2022 Jan; 38(4):1075-1086. PubMed ID: 34788368
    [TBL] [Abstract][Full Text] [Related]  

  • 8. forgeNet: a graph deep neural network model using tree-based ensemble classifiers for feature graph construction.
    Kong Y; Yu T
    Bioinformatics; 2020 Jun; 36(11):3507-3515. PubMed ID: 32163118
    [TBL] [Abstract][Full Text] [Related]  

  • 9. CellVGAE: an unsupervised scRNA-seq analysis workflow with graph attention networks.
    Buterez D; Bica I; Tariq I; Andrés-Terré H; Liò P
    Bioinformatics; 2022 Feb; 38(5):1277-1286. PubMed ID: 34864884
    [TBL] [Abstract][Full Text] [Related]  

  • 10. scGraph: a graph neural network-based approach to automatically identify cell types.
    Yin Q; Liu Q; Fu Z; Zeng W; Zhang B; Zhang X; Jiang R; Lv H
    Bioinformatics; 2022 May; 38(11):2996-3003. PubMed ID: 35394015
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Learning deep features and topological structure of cells for clustering of scRNA-sequencing data.
    Wang H; Ma X
    Brief Bioinform; 2022 May; 23(3):. PubMed ID: 35302164
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Generalizing biomedical relation classification with neural adversarial domain adaptation.
    Rios A; Kavuluru R; Lu Z
    Bioinformatics; 2018 Sep; 34(17):2973-2981. PubMed ID: 29590309
    [TBL] [Abstract][Full Text] [Related]  

  • 13. TGSA: protein-protein association-based twin graph neural networks for drug response prediction with similarity augmentation.
    Zhu Y; Ouyang Z; Chen W; Feng R; Chen DZ; Cao J; Wu J
    Bioinformatics; 2022 Jan; 38(2):461-468. PubMed ID: 34559177
    [TBL] [Abstract][Full Text] [Related]  

  • 14. SD2: spatially resolved transcriptomics deconvolution through integration of dropout and spatial information.
    Li H; Li H; Zhou J; Gao X
    Bioinformatics; 2022 Oct; 38(21):4878-4884. PubMed ID: 36063455
    [TBL] [Abstract][Full Text] [Related]  

  • 15. scGAC: a graph attentional architecture for clustering single-cell RNA-seq data.
    Cheng Y; Ma X
    Bioinformatics; 2022 Apr; 38(8):2187-2193. PubMed ID: 35176138
    [TBL] [Abstract][Full Text] [Related]  

  • 16. scMRA: a robust deep learning method to annotate scRNA-seq data with multiple reference datasets.
    Yuan M; Chen L; Deng M
    Bioinformatics; 2022 Jan; 38(3):738-745. PubMed ID: 34623390
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A learning-based framework for miRNA-disease association identification using neural networks.
    Peng J; Hui W; Li Q; Chen B; Hao J; Jiang Q; Shang X; Wei Z
    Bioinformatics; 2019 Nov; 35(21):4364-4371. PubMed ID: 30977780
    [TBL] [Abstract][Full Text] [Related]  

  • 18. GMHCC: high-throughput analysis of biomolecular data using graph-based multiple hierarchical consensus clustering.
    Lu Y; Yu Z; Wang Y; Ma Z; Wong KC; Li X
    Bioinformatics; 2022 May; 38(11):3020-3028. PubMed ID: 35451457
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Cross-type biomedical named entity recognition with deep multi-task learning.
    Wang X; Zhang Y; Ren X; Zhang Y; Zitnik M; Shang J; Langlotz C; Han J
    Bioinformatics; 2019 May; 35(10):1745-1752. PubMed ID: 30307536
    [TBL] [Abstract][Full Text] [Related]  

  • 20. GNN-based embedding for clustering scRNA-seq data.
    Ciortan M; Defrance M
    Bioinformatics; 2022 Jan; 38(4):1037-1044. PubMed ID: 34850828
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.