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 *

143 related articles for article (PubMed ID: 38018908)

  • 1. An in-depth comparison of linear and non-linear joint embedding methods for bulk and single-cell multi-omics.
    Makrodimitris S; Pronk B; Abdelaal T; Reinders M
    Brief Bioinform; 2023 Nov; 25(1):. PubMed ID: 38018908
    [TBL] [Abstract][Full Text] [Related]  

  • 2. nipalsMCIA: Flexible Multi-Block Dimensionality Reduction in R via Non-linear Iterative Partial Least Squares.
    Mattessich M; Reyna J; Aron E; Ay F; Kilmer M; Kleinstein SH; Konstorum A
    bioRxiv; 2024 Jun; ():. PubMed ID: 38915554
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Self-omics: A Self-supervised Learning Framework for Multi-omics Cancer Data.
    Hashim S; Nandakumar K; Yaqub M
    Pac Symp Biocomput; 2023; 28():263-274. PubMed ID: 36540983
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Multimodal deep learning approaches for single-cell multi-omics data integration.
    Athaya T; Ripan RC; Li X; Hu H
    Brief Bioinform; 2023 Sep; 24(5):. PubMed ID: 37651607
    [TBL] [Abstract][Full Text] [Related]  

  • 6. CLCLSA: Cross-omics linked embedding with contrastive learning and self attention for integration with incomplete multi-omics data.
    Zhao C; Liu A; Zhang X; Cao X; Ding Z; Sha Q; Shen H; Deng HW; Zhou W
    Comput Biol Med; 2024 Mar; 170():108058. PubMed ID: 38295477
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Single-cell multi-omics topic embedding reveals cell-type-specific and COVID-19 severity-related immune signatures.
    Zhou M; Zhang H; Bai Z; Mann-Krzisnik D; Wang F; Li Y
    Cell Rep Methods; 2023 Aug; 3(8):100563. PubMed ID: 37671028
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Uncertainty-aware dynamic integration for multi-omics classification of tumors.
    Du L; Liu C; Wei R; Chen J
    J Cancer Res Clin Oncol; 2023 Jul; 149(7):3301-3312. PubMed ID: 35925427
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A fair experimental comparison of neural network architectures for latent representations of multi-omics for drug response prediction.
    Hauptmann T; Kramer S
    BMC Bioinformatics; 2023 Feb; 24(1):45. PubMed ID: 36788531
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Multi-omics integration method based on attention deep learning network for biomedical data classification.
    Gong P; Cheng L; Zhang Z; Meng A; Li E; Chen J; Zhang L
    Comput Methods Programs Biomed; 2023 Apr; 231():107377. PubMed ID: 36739624
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Unsupervised neural network for single cell Multi-omics INTegration (UMINT): an application to health and disease.
    Maitra C; Seal DB; Das V; De RK
    Front Mol Biosci; 2023; 10():1184748. PubMed ID: 37293552
    [TBL] [Abstract][Full Text] [Related]  

  • 12. scME: a dual-modality factor model for single-cell multiomics embedding.
    Zhou B; Yang F; Zeng F
    Bioinformatics; 2023 Jun; 39(6):. PubMed ID: 37220900
    [TBL] [Abstract][Full Text] [Related]  

  • 13. OmiEmbed: A Unified Multi-Task Deep Learning Framework for Multi-Omics Data.
    Zhang X; Xing Y; Sun K; Guo Y
    Cancers (Basel); 2021 Jun; 13(12):. PubMed ID: 34207255
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Deep cross-omics cycle attention model for joint analysis of single-cell multi-omics data.
    Zuo C; Dai H; Chen L
    Bioinformatics; 2021 Nov; 37(22):4091-4099. PubMed ID: 34028557
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Robust joint clustering of multi-omics single-cell data via multi-modal high-order neighborhood Laplacian matrix optimization.
    Jiang H; Zhan S; Ching WK; Chen L
    Bioinformatics; 2023 Jul; 39(7):. PubMed ID: 37382572
    [TBL] [Abstract][Full Text] [Related]  

  • 16. scMoMaT jointly performs single cell mosaic integration and multi-modal bio-marker detection.
    Zhang Z; Sun H; Mariappan R; Chen X; Chen X; Jain MS; Efremova M; Teichmann SA; Rajan V; Zhang X
    Nat Commun; 2023 Jan; 14(1):384. PubMed ID: 36693837
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Inferencing Bulk Tumor and Single-Cell Multi-Omics Regulatory Networks for Discovery of Biomarkers and Therapeutic Targets.
    Ye Q; Guo NL
    Cells; 2022 Dec; 12(1):. PubMed ID: 36611894
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Clustering of single-cell multi-omics data with a multimodal deep learning method.
    Lin X; Tian T; Wei Z; Hakonarson H
    Nat Commun; 2022 Dec; 13(1):7705. PubMed ID: 36513636
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Manifold alignment for heterogeneous single-cell multi-omics data integration using Pamona.
    Cao K; Hong Y; Wan L
    Bioinformatics; 2021 Dec; 38(1):211-219. PubMed ID: 34398192
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Single-cell multi-omic topic embedding reveals cell-type-specific and COVID-19 severity-related immune signatures.
    Zhou M; Zhang H; Baii Z; Mann-Krzisnik D; Wang F; Li Y
    bioRxiv; 2023 Jun; ():. PubMed ID: 36778483
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.