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 *

128 related articles for article (PubMed ID: 27980640)

  • 1. A LASSO penalized regression approach for genome-wide association analyses using related individuals: application to the Genetic Analysis Workshop 19 simulated data.
    Papachristou C; Ober C; Abney M
    BMC Proc; 2016; 10(Suppl 7):221-226. PubMed ID: 27980640
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Penalized-regression-based multimarker genotype analysis of Genetic Analysis Workshop 17 data.
    Ayers KL; Mamasoula C; Cordell HJ
    BMC Proc; 2011 Nov; 5 Suppl 9(Suppl 9):S92. PubMed ID: 22373158
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Lost in Translation: On the Problem of Data Coding in Penalized Whole Genome Regression with Interactions.
    Martini JWR; Rosales F; Ha NT; Heise J; Wimmer V; Kneib T
    G3 (Bethesda); 2019 Apr; 9(4):1117-1129. PubMed ID: 30760541
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Combining least absolute shrinkage and selection operator (LASSO) and principal-components analysis for detection of gene-gene interactions in genome-wide association studies.
    D'Angelo GM; Rao D; Gu CC
    BMC Proc; 2009 Dec; 3 Suppl 7(Suppl 7):S62. PubMed ID: 20018056
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Evaluation of the lasso and the elastic net in genome-wide association studies.
    Waldmann P; Mészáros G; Gredler B; Fuerst C; Sölkner J
    Front Genet; 2013; 4():270. PubMed ID: 24363662
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Overview of LASSO-related penalized regression methods for quantitative trait mapping and genomic selection.
    Li Z; Sillanpää MJ
    Theor Appl Genet; 2012 Aug; 125(3):419-35. PubMed ID: 22622521
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Efficient penalized generalized linear mixed models for variable selection and genetic risk prediction in high-dimensional data.
    St-Pierre J; Oualkacha K; Bhatnagar SR
    Bioinformatics; 2023 Feb; 39(2):. PubMed ID: 36708013
    [TBL] [Abstract][Full Text] [Related]  

  • 9. LASSO type penalized spline regression for binary data.
    Mullah MAS; Hanley JA; Benedetti A
    BMC Med Res Methodol; 2021 Apr; 21(1):83. PubMed ID: 33894761
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Comparison between the stochastic search variable selection and the least absolute shrinkage and selection operator for genome-wide association studies of rheumatoid arthritis.
    Srivastava S; Chen L
    BMC Proc; 2009 Dec; 3 Suppl 7(Suppl 7):S21. PubMed ID: 20018011
    [TBL] [Abstract][Full Text] [Related]  

  • 11. MP-LASSO chart: a multi-level polar chart for visualizing group LASSO analysis of genomic data.
    Song M; Lee M; Park T; Park M
    Genomics Inform; 2022 Dec; 20(4):e48. PubMed ID: 36617655
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Regularized regression method for genome-wide association studies.
    Liu J; Wang K; Ma S; Huang J
    BMC Proc; 2011 Nov; 5 Suppl 9(Suppl 9):S67. PubMed ID: 22373491
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Evaluation of a LASSO regression approach on the unrelated samples of Genetic Analysis Workshop 17.
    Guo W; Elston RC; Zhu X
    BMC Proc; 2011 Nov; 5 Suppl 9(Suppl 9):S12. PubMed ID: 22373385
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Using penalized regression to predict phenotype from SNP data.
    Cherlin S; Howey RAJ; Cordell HJ
    BMC Proc; 2018; 12(Suppl 9):38. PubMed ID: 30275888
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Sign-based Shrinkage Based on an Asymmetric LASSO Penalty.
    Kawaguchi ES; Darst BF; Wang K; Conti DV
    J Data Sci; 2021; 19(3):429-449. PubMed ID: 35222618
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Analysis of baseline, average, and longitudinally measured blood pressure data using linear mixed models.
    Hossain A; Beyene J
    BMC Proc; 2014; 8(Suppl 1 Genetic Analysis Workshop 18Vanessa Olmo):S80. PubMed ID: 25519409
    [TBL] [Abstract][Full Text] [Related]  

  • 17. An empirical Bayes method for estimating epistatic effects of quantitative trait loci.
    Xu S
    Biometrics; 2007 Jun; 63(2):513-21. PubMed ID: 17688503
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Optimism Bias Correction in Omics Studies with Big Data: Assessment of Penalized Methods on Simulated Data.
    Zhao Y; Dantony E; Roy P
    OMICS; 2019 Apr; 23(4):207-213. PubMed ID: 30794050
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Penalized multivariate linear mixed model for longitudinal genome-wide association studies.
    Liu J; Huang J; Ma S
    BMC Proc; 2014; 8(Suppl 1):S73. PubMed ID: 25519343
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A Selection Operator for Summary Association Statistics Reveals Allelic Heterogeneity of Complex Traits.
    Ning Z; Lee Y; Joshi PK; Wilson JF; Pawitan Y; Shen X
    Am J Hum Genet; 2017 Dec; 101(6):903-912. PubMed ID: 29198721
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.