BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

265 related articles for article (PubMed ID: 31874642)

  • 1. Integrative subspace clustering by common and specific decomposition for applications on cancer subtype identification.
    Guo Y; Li H; Cai M; Li L
    BMC Med Genomics; 2019 Dec; 12(Suppl 9):191. PubMed ID: 31874642
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Subtype identification from heterogeneous TCGA datasets on a genomic scale by multi-view clustering with enhanced consensus.
    Cai M; Li L
    BMC Med Genomics; 2017 Dec; 10(Suppl 4):75. PubMed ID: 29322925
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 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. 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]  

  • 6. Clusternomics: Integrative context-dependent clustering for heterogeneous datasets.
    Gabasova E; Reid J; Wernisch L
    PLoS Comput Biol; 2017 Oct; 13(10):e1005781. PubMed ID: 29036190
    [TBL] [Abstract][Full Text] [Related]  

  • 7. HCNM: Heterogeneous Correlation Network Model for Multi-level Integrative Study of Multi-omics Data for Cancer Subtype Prediction.
    Vangimalla RR; Sreevalsan-Nair J
    Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():1880-1886. PubMed ID: 34891654
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Robust auto-weighted multi-view subspace clustering with common subspace representation matrix.
    Zhuge W; Hou C; Jiao Y; Yue J; Tao H; Yi D
    PLoS One; 2017; 12(5):e0176769. PubMed ID: 28542234
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. 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]  

  • 12. Subtype-MGTP: a cancer subtype identification framework based on multi-omics translation.
    Xie M; Kuang Y; Song M; Bao E
    Bioinformatics; 2024 Jun; 40(6):. PubMed ID: 38857453
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. 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]  

  • 15. Clustering of cancer data based on Stiefel manifold for multiple views.
    Tian J; Zhao J; Zheng C
    BMC Bioinformatics; 2021 May; 22(1):268. PubMed ID: 34034643
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. PathME: pathway based multi-modal sparse autoencoders for clustering of patient-level multi-omics data.
    Lemsara A; Ouadfel S; Fröhlich H
    BMC Bioinformatics; 2020 Apr; 21(1):146. PubMed ID: 32299344
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Integrating Multi-Omic Data With Deep Subspace Fusion Clustering for Cancer Subtype Prediction.
    Yang B; Zhang Y; Pang S; Shang X; Zhao X; Han M
    IEEE/ACM Trans Comput Biol Bioinform; 2021; 18(1):216-226. PubMed ID: 31689204
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Multi-view Subspace Clustering Analysis for Aggregating Multiple Heterogeneous Omics Data.
    Shi Q; Hu B; Zeng T; Zhang C
    Front Genet; 2019; 10():744. PubMed ID: 31497031
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 14.