BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

115 related articles for article (PubMed ID: 28688226)

  • 1. Towards Multiple Kernel Principal Component Analysis for Integrative Analysis of Tumor Samples.
    Speicher NK; Pfeifer N
    J Integr Bioinform; 2017 Jul; 14(2):. PubMed ID: 28688226
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Integrating different data types by regularized unsupervised multiple kernel learning with application to cancer subtype discovery.
    Speicher NK; Pfeifer N
    Bioinformatics; 2015 Jun; 31(12):i268-75. PubMed ID: 26072491
    [TBL] [Abstract][Full Text] [Related]  

  • 3. web-rMKL: a web server for dimensionality reduction and sample clustering of multi-view data based on unsupervised multiple kernel learning.
    Röder B; Kersten N; Herr M; Speicher NK; Pfeifer N
    Nucleic Acids Res; 2019 Jul; 47(W1):W605-W609. PubMed ID: 31114892
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Improving gene expression cancer molecular pattern discovery using nonnegative principal component analysis.
    Han X
    Genome Inform; 2008; 21():200-11. PubMed ID: 19425159
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Cancer subtyping with heterogeneous multi-omics data via hierarchical multi-kernel learning.
    Wei Y; Li L; Zhao X; Yang H; Sa J; Cao H; Cui Y
    Brief Bioinform; 2023 Jan; 24(1):. PubMed ID: 36433785
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Dissecting cancer heterogeneity based on dimension reduction of transcriptomic profiles using extreme learning machines.
    Wang K; Duan X; Gao F; Wang W; Liu L; Wang X
    PLoS One; 2018; 13(9):e0203824. PubMed ID: 30216380
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Multi-Omics Data Fusion via a Joint Kernel Learning Model for Cancer Subtype Discovery and Essential Gene Identification.
    Feng J; Jiang L; Li S; Tang J; Wen L
    Front Genet; 2021; 12():647141. PubMed ID: 33747053
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Integrative Data Analysis of Multi-Platform Cancer Data with a Multimodal Deep Learning Approach.
    Liang M; Li Z; Chen T; Zeng J
    IEEE/ACM Trans Comput Biol Bioinform; 2015; 12(4):928-37. PubMed ID: 26357333
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Integrative and regularized principal component analysis of multiple sources of data.
    Liu B; Shen X; Pan W
    Stat Med; 2016 Jun; 35(13):2235-50. PubMed ID: 26756854
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Cancer Subtype Discovery Based on Integrative Model of Multigenomic Data.
    Ge SG; Xia J; Sha W; Zheng CH
    IEEE/ACM Trans Comput Biol Bioinform; 2017; 14(5):1115-1121. PubMed ID: 28113782
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Deep Kernel Principal Component Analysis for multi-level feature learning.
    Tonin F; Tao Q; Patrinos P; Suykens JAK
    Neural Netw; 2024 Feb; 170():578-595. PubMed ID: 38052152
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Integrative clustering of high-dimensional data with joint and individual clusters.
    Hellton KH; Thoresen M
    Biostatistics; 2016 Jul; 17(3):537-48. PubMed ID: 26917056
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Robust correlation estimation and UMAP assisted topological analysis of omics data for disease subtyping.
    Rather AA; Chachoo MA
    Comput Biol Med; 2023 Mar; 155():106640. PubMed ID: 36774889
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Penalized preimage learning in kernel principal component analysis.
    Zheng WS; Lai J; Yuen PC
    IEEE Trans Neural Netw; 2010 Apr; 21(4):551-70. PubMed ID: 20144918
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A trace ratio maximization approach to multiple kernel-based dimensionality reduction.
    Jiang W; Chung FL
    Neural Netw; 2014 Jan; 49():96-106. PubMed ID: 24211342
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Cancer molecular pattern discovery by subspace consensus kernel classification.
    Han X
    Comput Syst Bioinformatics Conf; 2007; 6():55-65. PubMed ID: 17951812
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Comparing the performance of linear and nonlinear principal components in the context of high-dimensional genomic data integration.
    Islam S; Anand S; Hamid J; Thabane L; Beyene J
    Stat Appl Genet Mol Biol; 2017 Jul; 16(3):199-216. PubMed ID: 28727569
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Multiple kernel learning for integrative consensus clustering of omic datasets.
    Cabassi A; Kirk PDW
    Bioinformatics; 2020 Sep; 36(18):4789-4796. PubMed ID: 32592464
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Online kernel principal component analysis: a reduced-order model.
    Honeine P
    IEEE Trans Pattern Anal Mach Intell; 2012 Sep; 34(9):1814-26. PubMed ID: 22201059
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Nonnegative principal component analysis for cancer molecular pattern discovery.
    Han X
    IEEE/ACM Trans Comput Biol Bioinform; 2010; 7(3):537-49. PubMed ID: 20671323
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.