BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

175 related articles for article (PubMed ID: 18753155)

  • 1. Supervised principal component analysis for gene set enrichment of microarray data with continuous or survival outcomes.
    Chen X; Wang L; Smith JD; Zhang B
    Bioinformatics; 2008 Nov; 24(21):2474-81. PubMed ID: 18753155
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Spectral gene set enrichment (SGSE).
    Frost HR; Li Z; Moore JH
    BMC Bioinformatics; 2015 Mar; 16():70. PubMed ID: 25879888
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Statistical significance of variables driving systematic variation in high-dimensional data.
    Chung NC; Storey JD
    Bioinformatics; 2015 Feb; 31(4):545-54. PubMed ID: 25336500
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Gene selection for microarray data analysis using principal component analysis.
    Wang A; Gehan EA
    Stat Med; 2005 Jul; 24(13):2069-87. PubMed ID: 15806617
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Selecting subsets of newly extracted features from PCA and PLS in microarray data analysis.
    Li GZ; Bu HL; Yang MQ; Zeng XQ; Yang JY
    BMC Genomics; 2008 Sep; 9 Suppl 2(Suppl 2):S24. PubMed ID: 18831790
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Supervised cluster analysis for microarray data based on multivariate Gaussian mixture.
    Qu Y; Xu S
    Bioinformatics; 2004 Aug; 20(12):1905-13. PubMed ID: 15044244
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Integrating biological knowledge with gene expression profiles for survival prediction of cancer.
    Chen X; Wang L
    J Comput Biol; 2009 Feb; 16(2):265-78. PubMed ID: 19183004
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Semi-supervised recursively partitioned mixture models for identifying cancer subtypes.
    Koestler DC; Marsit CJ; Christensen BC; Karagas MR; Bueno R; Sugarbaker DJ; Kelsey KT; Houseman EA
    Bioinformatics; 2010 Oct; 26(20):2578-85. PubMed ID: 20834038
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Pathway-based analysis for genome-wide association studies using supervised principal components.
    Chen X; Wang L; Hu B; Guo M; Barnard J; Zhu X
    Genet Epidemiol; 2010 Nov; 34(7):716-24. PubMed ID: 20842628
    [TBL] [Abstract][Full Text] [Related]  

  • 10. pcaMethods--a bioconductor package providing PCA methods for incomplete data.
    Stacklies W; Redestig H; Scholz M; Walther D; Selbig J
    Bioinformatics; 2007 May; 23(9):1164-7. PubMed ID: 17344241
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A weighted principal component analysis and its application to gene expression data.
    Pinto da Costa JF; Alonso H; Roque L
    IEEE/ACM Trans Comput Biol Bioinform; 2011; 8(1):246-52. PubMed ID: 21071812
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Improve survival prediction using principal components of gene expression data.
    Shen YJ; Huang SG
    Genomics Proteomics Bioinformatics; 2006 May; 4(2):110-9. PubMed ID: 16970550
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Principal component analysis based methods in bioinformatics studies.
    Ma S; Dai Y
    Brief Bioinform; 2011 Nov; 12(6):714-22. PubMed ID: 21242203
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Unsupervised Bayesian linear unmixing of gene expression microarrays.
    Bazot C; Dobigeon N; Tourneret JY; Zaas AK; Ginsburg GS; Hero AO
    BMC Bioinformatics; 2013 Mar; 14():99. PubMed ID: 23506672
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Partial least squares dimension reduction for microarray gene expression data with a censored response.
    Nguyen DV
    Math Biosci; 2005 Jan; 193(1):119-37. PubMed ID: 15681279
    [TBL] [Abstract][Full Text] [Related]  

  • 17. PCA via joint graph Laplacian and sparse constraint: Identification of differentially expressed genes and sample clustering on gene expression data.
    Feng CM; Xu Y; Hou MX; Dai LY; Shang JL
    BMC Bioinformatics; 2019 Dec; 20(Suppl 22):716. PubMed ID: 31888433
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Principal component gene set enrichment (PCGSE).
    Frost HR; Li Z; Moore JH
    BioData Min; 2015; 8():25. PubMed ID: 26300978
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Testing gene set enrichment for subset of genes: Sub-GSE.
    Yan X; Sun F
    BMC Bioinformatics; 2008 Sep; 9():362. PubMed ID: 18764941
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Enhancing Characteristic Gene Selection and Tumor Classification by the Robust Laplacian Supervised Discriminative Sparse PCA.
    Zhang LX; Yan H; Liu Y; Xu J; Song J; Yu DJ
    J Chem Inf Model; 2022 Apr; 62(7):1794-1807. PubMed ID: 35353532
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.