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 *

175 related articles for article (PubMed ID: 22549815)

  • 1. Reprioritizing genetic associations in hit regions using LASSO-based resample model averaging.
    Valdar W; Sabourin J; Nobel A; Holmes CC
    Genet Epidemiol; 2012 Jul; 36(5):451-62. PubMed ID: 22549815
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Fine-mapping additive and dominant SNP effects using group-LASSO and fractional resample model averaging.
    Sabourin J; Nobel AB; Valdar W
    Genet Epidemiol; 2015 Feb; 39(2):77-88. PubMed ID: 25417853
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A fast algorithm for Bayesian multi-locus model in genome-wide association studies.
    Duan W; Zhao Y; Wei Y; Yang S; Bai J; Shen S; Du M; Huang L; Hu Z; Chen F
    Mol Genet Genomics; 2017 Aug; 292(4):923-934. PubMed ID: 28534238
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A novel bayesian graphical model for genome-wide multi-SNP association mapping.
    Zhang Y
    Genet Epidemiol; 2012 Jan; 36(1):36-47. PubMed ID: 22127647
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Exploiting Linkage Disequilibrium for Ultrahigh-Dimensional Genome-Wide Data with an Integrated Statistical Approach.
    Carlsen M; Fu G; Bushman S; Corcoran C
    Genetics; 2016 Feb; 202(2):411-26. PubMed ID: 26661113
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Mining gold dust under the genome wide significance level: a two-stage approach to analysis of GWAS.
    Shi G; Boerwinkle E; Morrison AC; Gu CC; Chakravarti A; Rao DC
    Genet Epidemiol; 2011 Feb; 35(2):111-8. PubMed ID: 21254218
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Using Bayes model averaging to leverage both gene main effects and Gā€‰Ć—ā€‰ E interactions to identify genomic regions in genome-wide association studies.
    Moss LC; Gauderman WJ; Lewinger JP; Conti DV
    Genet Epidemiol; 2019 Mar; 43(2):150-165. PubMed ID: 30456811
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Performance of a blockwise approach in variable selection using linkage disequilibrium information.
    Dehman A; Ambroise C; Neuvial P
    BMC Bioinformatics; 2015 May; 16():148. PubMed ID: 25951947
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Screen and clean: a tool for identifying interactions in genome-wide association studies.
    Wu J; Devlin B; Ringquist S; Trucco M; Roeder K
    Genet Epidemiol; 2010 Apr; 34(3):275-85. PubMed ID: 20088021
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Iterative sure independence screening EM-Bayesian LASSO algorithm for multi-locus genome-wide association studies.
    Tamba CL; Ni YL; Zhang YM
    PLoS Comput Biol; 2017 Jan; 13(1):e1005357. PubMed ID: 28141824
    [TBL] [Abstract][Full Text] [Related]  

  • 11. The Bayesian lasso for genome-wide association studies.
    Li J; Das K; Fu G; Li R; Wu R
    Bioinformatics; 2011 Feb; 27(4):516-23. PubMed ID: 21156729
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Comparing the efficacy of SNP filtering methods for identifying a single causal SNP in a known association region.
    Spencer AV; Cox A; Walters K
    Ann Hum Genet; 2014 Jan; 78(1):50-61. PubMed ID: 24205929
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Bayesian epistasis association mapping via SNP imputation.
    Zhang Y
    Biostatistics; 2011 Apr; 12(2):211-22. PubMed ID: 20923970
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Integrative Bayesian variable selection with gene-based informative priors for genome-wide association studies.
    Zhang X; Xue F; Liu H; Zhu D; Peng B; Wiemels JL; Yang X
    BMC Genet; 2014 Dec; 15():130. PubMed ID: 25491445
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A Scalable Bayesian Method for Integrating Functional Information in Genome-wide Association Studies.
    Yang J; Fritsche LG; Zhou X; Abecasis G;
    Am J Hum Genet; 2017 Sep; 101(3):404-416. PubMed ID: 28844487
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Genome-wide association analyses identify known and novel loci for teat number in Duroc pigs using single-locus and multi-locus models.
    Zhuang Z; Ding R; Peng L; Wu J; Ye Y; Zhou S; Wang X; Quan J; Zheng E; Cai G; Huang W; Yang J; Wu Z
    BMC Genomics; 2020 May; 21(1):344. PubMed ID: 32380955
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Performance of random forest when SNPs are in linkage disequilibrium.
    Meng YA; Yu Y; Cupples LA; Farrer LA; Lunetta KL
    BMC Bioinformatics; 2009 Mar; 10():78. PubMed ID: 19265542
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Multiple SNP Set Analysis for Genome-Wide Association Studies Through Bayesian Latent Variable Selection.
    Lu ZH; Zhu H; Knickmeyer RC; Sullivan PF; Williams SN; Zou F;
    Genet Epidemiol; 2015 Dec; 39(8):664-77. PubMed ID: 26515609
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Extent and consistency of linkage disequilibrium and identification of DNA markers for production and egg quality traits in commercial layer chicken populations.
    Abasht B; Sandford E; Arango J; Settar P; Fulton JE; O'Sullivan NP; Hassen A; Habier D; Fernando RL; Dekkers JC; Lamont SJ
    BMC Genomics; 2009 Jul; 10 Suppl 2(Suppl 2):S2. PubMed ID: 19607653
    [TBL] [Abstract][Full Text] [Related]  

  • 20. JAM: A Scalable Bayesian Framework for Joint Analysis of Marginal SNP Effects.
    Newcombe PJ; Conti DV; Richardson S
    Genet Epidemiol; 2016 Apr; 40(3):188-201. PubMed ID: 27027514
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.