BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

325 related articles for article (PubMed ID: 36445207)

  • 1. Multi-view spectral clustering with latent representation learning for applications on multi-omics cancer subtyping.
    Ge S; Liu J; Cheng Y; Meng X; Wang X
    Brief Bioinform; 2023 Jan; 24(1):. PubMed ID: 36445207
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. 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]  

  • 4. Multi-omics clustering for cancer subtyping based on latent subspace learning.
    Ye X; Shang Y; Shi T; Zhang W; Sakurai T
    Comput Biol Med; 2023 Sep; 164():107223. PubMed ID: 37490833
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Similarity Fusion via Exploiting High Order Proximity for Cancer Subtyping.
    Chen J; Rong W; Tao G; Cai H
    IEEE/ACM Trans Comput Biol Bioinform; 2023; 20(1):658-667. PubMed ID: 34971537
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Deeply integrating latent consistent representations in high-noise multi-omics data for cancer subtyping.
    Cai Y; Wang S
    Brief Bioinform; 2024 Jan; 25(2):. PubMed ID: 38426322
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Multi-view manifold regularized compact low-rank representation for cancer samples clustering on multi-omics data.
    Wang J; Lu CH; Kong XZ; Dai LY; Yuan S; Zhang X
    BMC Bioinformatics; 2022 Jan; 22(Suppl 12):334. PubMed ID: 35057729
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Subtype-DCC: decoupled contrastive clustering method for cancer subtype identification based on multi-omics data.
    Zhao J; Zhao B; Song X; Lyu C; Chen W; Xiong Y; Wei DQ
    Brief Bioinform; 2023 Mar; 24(2):. PubMed ID: 36702755
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Adaptive latent similarity learning for multi-view clustering.
    Xie D; Gao Q; Wang Q; Zhang X; Gao X
    Neural Netw; 2020 Jan; 121():409-418. PubMed ID: 31606610
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Subtype-WESLR: identifying cancer subtype with weighted ensemble sparse latent representation of multi-view data.
    Song W; Wang W; Dai DQ
    Brief Bioinform; 2022 Jan; 23(1):. PubMed ID: 34607358
    [TBL] [Abstract][Full Text] [Related]  

  • 12. scMIC: A Deep Multi-Level Information Fusion Framework for Clustering Single-Cell Multi-Omics Data.
    Zhan Y; Liu J; Ou-Yang L
    IEEE J Biomed Health Inform; 2023 Dec; 27(12):6121-6132. PubMed ID: 37725723
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Towards a unified framework for graph-based multi-view clustering.
    Dornaika F; El Hajjar S
    Neural Netw; 2024 May; 173():106197. PubMed ID: 38422834
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Cancer subtype identification by consensus guided graph autoencoders.
    Liang C; Shang M; Luo J
    Bioinformatics; 2021 Dec; 37(24):4779-4786. PubMed ID: 34289034
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Randomized singular value decomposition for integrative subtype analysis of 'omics data' using non-negative matrix factorization.
    Ni Y; He J; Chalise P
    Stat Appl Genet Mol Biol; 2023 Jan; 22(1):. PubMed ID: 37937887
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Interactive gene identification for cancer subtyping based on multi-omics clustering.
    Ye X; Shi T; Cui Y; Sakurai T
    Methods; 2023 Mar; 211():61-67. PubMed ID: 36804215
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A Multiview Clustering Method With Low-Rank and Sparsity Constraints for Cancer Subtyping.
    Zhanpeng H; Jiekang W
    IEEE/ACM Trans Comput Biol Bioinform; 2022; 19(6):3213-3223. PubMed ID: 34705654
    [TBL] [Abstract][Full Text] [Related]  

  • 18. WMLRR: A Weighted Multi-View Low Rank Representation to Identify Cancer Subtypes From Multiple Types of Omics Data.
    Sun Y; Ou-Yang L; Dai DQ
    IEEE/ACM Trans Comput Biol Bioinform; 2021; 18(6):2891-2897. PubMed ID: 33656995
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Joint Learning of Latent Similarity and Local Embedding for Multi-View Clustering.
    Huang A; Chen W; Zhao T; Chen CW
    IEEE Trans Image Process; 2021; 30():6772-6784. PubMed ID: 34310300
    [TBL] [Abstract][Full Text] [Related]  

  • 20. MCluster-VAEs: An end-to-end variational deep learning-based clustering method for subtype discovery using multi-omics data.
    Rong Z; Liu Z; Song J; Cao L; Yu Y; Qiu M; Hou Y
    Comput Biol Med; 2022 Nov; 150():106085. PubMed ID: 36162197
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 17.