BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

419 related articles for article (PubMed ID: 30698637)

  • 1. NEMO: cancer subtyping by integration of partial multi-omic data.
    Rappoport N; Shamir R
    Bioinformatics; 2019 Sep; 35(18):3348-3356. PubMed ID: 30698637
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Supervised Graph Clustering for Cancer Subtyping Based on Survival Analysis and Integration of Multi-Omic Tumor Data.
    Liu C; Cao W; Wu S; Shen W; Jiang D; Yu Z; Wong HS
    IEEE/ACM Trans Comput Biol Bioinform; 2022; 19(2):1193-1202. PubMed ID: 32750893
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Subtype-GAN: a deep learning approach for integrative cancer subtyping of multi-omics data.
    Yang H; Chen R; Li D; Wang Z
    Bioinformatics; 2021 Aug; 37(16):2231-2237. PubMed ID: 33599254
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Consensus clustering applied to multi-omics disease subtyping.
    Brière G; Darbo É; Thébault P; Uricaru R
    BMC Bioinformatics; 2021 Jul; 22(1):361. PubMed ID: 34229612
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Robust clustering of noisy high-dimensional gene expression data for patients subtyping.
    Coretto P; Serra A; Tagliaferri R
    Bioinformatics; 2018 Dec; 34(23):4064-4072. PubMed ID: 29939219
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. Multi-omic and multi-view clustering algorithms: review and cancer benchmark.
    Rappoport N; Shamir R
    Nucleic Acids Res; 2018 Nov; 46(20):10546-10562. PubMed ID: 30295871
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Deep structure integrative representation of multi-omics data for cancer subtyping.
    Yang B; Yang Y; Su X
    Bioinformatics; 2022 Jun; 38(13):3337-3342. PubMed ID: 35639657
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Integration of gene expression and DNA methylation data across different experiments.
    Itai Y; Rappoport N; Shamir R
    Nucleic Acids Res; 2023 Aug; 51(15):7762-7776. PubMed ID: 37395437
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Convex Multi-View Clustering Via Robust Low Rank Approximation With Application to Multi-Omic Data.
    Shetta O; Niranjan M; Dasmahapatra S
    IEEE/ACM Trans Comput Biol Bioinform; 2022; 19(6):3340-3352. PubMed ID: 34705655
    [TBL] [Abstract][Full Text] [Related]  

  • 13. MOVICS: an R package for multi-omics integration and visualization in cancer subtyping.
    Lu X; Meng J; Zhou Y; Jiang L; Yan F
    Bioinformatics; 2021 Apr; 36(22-23):5539-5541. PubMed ID: 33315104
    [TBL] [Abstract][Full Text] [Related]  

  • 14. MONET: Multi-omic module discovery by omic selection.
    Rappoport N; Safra R; Shamir R
    PLoS Comput Biol; 2020 Sep; 16(9):e1008182. PubMed ID: 32931516
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Spectral clustering of single-cell multi-omics data on multilayer graphs.
    Zhang S; Leistico JR; Cho RJ; Cheng JB; Song JS
    Bioinformatics; 2022 Jul; 38(14):3600-3608. PubMed ID: 35652725
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Fast dimension reduction and integrative clustering of multi-omics data using low-rank approximation: application to cancer molecular classification.
    Wu D; Wang D; Zhang MQ; Gu J
    BMC Genomics; 2015 Dec; 16():1022. PubMed ID: 26626453
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Multi-omics integration with weighted affinity and self-diffusion applied for cancer subtypes identification.
    Duan X; Ding X; Zhao Z
    J Transl Med; 2024 Jan; 22(1):79. PubMed ID: 38243340
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Unsupervised topological alignment for single-cell multi-omics integration.
    Cao K; Bai X; Hong Y; Wan L
    Bioinformatics; 2020 Jul; 36(Suppl_1):i48-i56. PubMed ID: 32657382
    [TBL] [Abstract][Full Text] [Related]  

  • 20. MRGCN: cancer subtyping with multi-reconstruction graph convolutional network using full and partial multi-omics dataset.
    Yang B; Yang Y; Wang M; Su X
    Bioinformatics; 2023 Jun; 39(6):. PubMed ID: 37255323
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 21.