These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

197 related articles for article (PubMed ID: 23471868)

  • 1. Kernel machine SNP-set testing under multiple candidate kernels.
    Wu MC; Maity A; Lee S; Simmons EM; Harmon QE; Lin X; Engel SM; Molldrem JJ; Armistead PM
    Genet Epidemiol; 2013 Apr; 37(3):267-75. PubMed ID: 23471868
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Prioritizing individual genetic variants after kernel machine testing using variable selection.
    He Q; Cai T; Liu Y; Zhao N; Harmon QE; Almli LM; Binder EB; Engel SM; Ressler KJ; Conneely KN; Lin X; Wu MC
    Genet Epidemiol; 2016 Dec; 40(8):722-731. PubMed ID: 27488097
    [TBL] [Abstract][Full Text] [Related]  

  • 3. An optimal kernel-based U-statistic method for quantitative gene-set association analysis.
    He T; Li S; Zhong PS; Cui Y
    Genet Epidemiol; 2019 Mar; 43(2):137-149. PubMed ID: 30456931
    [TBL] [Abstract][Full Text] [Related]  

  • 4. BayesKAT: bayesian optimal kernel-based test for genetic association studies reveals joint genetic effects in complex diseases.
    Das Adhikari S; Cui Y; Wang J
    Brief Bioinform; 2024 Mar; 25(3):. PubMed ID: 38653490
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Composite kernel machine regression based on likelihood ratio test for joint testing of genetic and gene-environment interaction effect.
    Zhao N; Zhang H; Clark JJ; Maity A; Wu MC
    Biometrics; 2019 Jun; 75(2):625-637. PubMed ID: 30430548
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Power of a reproducing kernel-based method for testing the joint effect of a set of single-nucleotide polymorphisms.
    He H; Zhang H; Maity A; Zou Y; Hussey J; Karmaus W
    Genetica; 2012 Dec; 140(10-12):421-7. PubMed ID: 23180006
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Kernel machine methods for integrative analysis of genome-wide methylation and genotyping studies.
    Zhao N; Zhan X; Huang YT; Almli LM; Smith A; Epstein MP; Conneely K; Wu MC
    Genet Epidemiol; 2018 Mar; 42(2):156-167. PubMed ID: 29285792
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Associating Multivariate Quantitative Phenotypes with Genetic Variants in Family Samples with a Novel Kernel Machine Regression Method.
    Yan Q; Weeks DE; Celedón JC; Tiwari HK; Li B; Wang X; Lin WY; Lou XY; Gao G; Chen W; Liu N
    Genetics; 2015 Dec; 201(4):1329-39. PubMed ID: 26482791
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Multivariate phenotype association analysis by marker-set kernel machine regression.
    Maity A; Sullivan PF; Tzeng JY
    Genet Epidemiol; 2012 Nov; 36(7):686-95. PubMed ID: 22899176
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Small Sample Kernel Association Tests for Human Genetic and Microbiome Association Studies.
    Chen J; Chen W; Zhao N; Wu MC; Schaid DJ
    Genet Epidemiol; 2016 Jan; 40(1):5-19. PubMed ID: 26643881
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Rare variant testing across methods and thresholds using the multi-kernel sequence kernel association test (MK-SKAT).
    Urrutia E; Lee S; Maity A; Zhao N; Shen J; Li Y; Wu MC
    Stat Interface; 2015; 8(4):495-505. PubMed ID: 26740853
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Powerful Genetic Association Analysis for Common or Rare Variants with High-Dimensional Structured Traits.
    Zhan X; Zhao N; Plantinga A; Thornton TA; Conneely KN; Epstein MP; Wu MC
    Genetics; 2017 Aug; 206(4):1779-1790. PubMed ID: 28642271
    [TBL] [Abstract][Full Text] [Related]  

  • 13. kTWAS: integrating kernel machine with transcriptome-wide association studies improves statistical power and reveals novel genes.
    Cao C; Kwok D; Edie S; Li Q; Ding B; Kossinna P; Campbell S; Wu J; Greenberg M; Long Q
    Brief Bioinform; 2021 Jul; 22(4):. PubMed ID: 33200776
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A Fast Multiple-Kernel Method With Applications to Detect Gene-Environment Interaction.
    Marceau R; Lu W; Holloway S; Sale MM; Worrall BB; Williams SR; Hsu FC; Tzeng JY
    Genet Epidemiol; 2015 Sep; 39(6):456-68. PubMed ID: 26139508
    [TBL] [Abstract][Full Text] [Related]  

  • 15. An optimal kernel-based multivariate U-statistic to test for associations with multiple phenotypes.
    Wen Y; Lu Q
    Biostatistics; 2022 Jul; 23(3):705-720. PubMed ID: 33108446
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A small-sample multivariate kernel machine test for microbiome association studies.
    Zhan X; Tong X; Zhao N; Maity A; Wu MC; Chen J
    Genet Epidemiol; 2017 Apr; 41(3):210-220. PubMed ID: 28019040
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Appraising the Genetic Architecture of Kernel Traits in Hexaploid Wheat Using GWAS.
    Muhammad A; Hu W; Li Z; Li J; Xie G; Wang J; Wang L
    Int J Mol Sci; 2020 Aug; 21(16):. PubMed ID: 32781752
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Pathway-Based Kernel Boosting for the Analysis of Genome-Wide Association Studies.
    Friedrichs S; Manitz J; Burger P; Amos CI; Risch A; Chang-Claude J; Wichmann HE; Kneib T; Bickeböller H; Hofner B
    Comput Math Methods Med; 2017; 2017():6742763. PubMed ID: 28785300
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Composite Kernel Association Test (CKAT) for SNP-set joint assessment of genotype and genotype-by-treatment interaction in Pharmacogenetics studies.
    Zhang H; Zhao N; Mehrotra DV; Shen J
    Bioinformatics; 2020 May; 36(10):3162-3168. PubMed ID: 32101275
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Kernel-machine testing coupled with a rank-truncation method for genetic pathway analysis.
    Yan Q; Tiwari HK; Yi N; Lin WY; Gao G; Lou XY; Cui X; Liu N
    Genet Epidemiol; 2014 Jul; 38(5):447-56. PubMed ID: 24849109
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.