Regularized regression method for genome-wide association studies

BMC Proceedings

Volumn 5, Issue SUPPL. 9, 2011, Pages

  Liu, Jin ^a   Wang, Kai ^a   Ma, Shuangge ^b   Huang, Jian ^a  

^a UNIVERSITY OF IOWA   (United States)

^b YALE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BAYES THEOREM; CONFERENCE PAPER; GENETIC ANALYSIS; GENETIC ASSOCIATION; GENOME; HEREDITY; HUMAN; LEAST ABSOLUTE SHRINKAGE AND SELECTION OPERATOR; PRIORITY JOURNAL; REGRESSION ANALYSIS; SINGLE NUCLEOTIDE POLYMORPHISM;

EID: 82455194120     PISSN: None     EISSN: 17536561     Source Type: Journal    
DOI: 10.1186/1753-6561-5-S9-S67     Document Type: Conference Paper

References (8)

1. Regression shrinkage and selection via the LASSO. Tibshirani R, J R Stat Soc B 1996 58 267 288
2. Sparsity and smoothness via the fused LASSO. Tibshirani R, Saunders M, Zhu J, Knight K, J R Stat Soc B 2005 67 91 108 10.1111/j.1467-9868.2005.00490.x (Pubitemid 40167043)
3. Nearly unbiased variable selection under minimax concave penalty. Zhang CH, Ann Stat 2010 38 894 942 10.1214/09-AOS729
4. Accounting for linkage disequilibrium in genome-wide association studies: a smoothed minimax concave penalty approach. Liu J, Wang K, Ma S, Huang J, Technical Report 410, Department of Statistics and Actuarial Science, University of Iowa 2011
5. Asymptotic properties of bridge estimators in sparse high-dimensional regression models. Huang J, Horowitz J, Ma S, Ann Stat 2008 36 587 613 10.1214/009053607000000875
6. Coordinate descent algorithms for nonconvex penalized regression methods. Breheny P, Huang J, Ann Appl Stat 2011 5 232 253 10.1214/10-AOAS388
7. Extended Bayesian information criteria for model selection with large model spaces. Chen J, Chen Z, Biometrika 2008 95 759 771 10.1093/biomet/asn034
8. Genome-wide association analysis by LASSO penalized logistic regression. Wu TT, Chen YF, Hastie T, Sobel E, Lange K, Bioinformatics 2009 25 714 721 10.1093/bioinformatics/btp041 19176549