Penalized logistic regression for detecting gene interactions.
暂无分享,去创建一个
[1] P. McCullagh,et al. Generalized Linear Models , 1984 .
[2] M. Silvapulle,et al. Ridge estimation in logistic regression , 1988 .
[3] N. Risch. Linkage strategies for genetically complex traits. I. Multilocus models. , 1990, American journal of human genetics.
[4] N. Risch. Linkage strategies for genetically complex traits. II. The power of affected relative pairs. , 1990, American journal of human genetics.
[5] J. Freidman,et al. Multivariate adaptive regression splines , 1991 .
[6] Robert Gray,et al. Flexible Methods for Analyzing Survival Data Using Splines, with Applications to Breast Cancer Prognosis , 1992 .
[7] J. Rice,et al. Two‐Locus models of disease , 1992, Genetic epidemiology.
[8] S. Cessie,et al. Ridge Estimators in Logistic Regression , 1992 .
[9] R. Tibshirani,et al. An introduction to the bootstrap , 1993 .
[10] Robert Tibshirani,et al. An Introduction to the Bootstrap CHAPMAN & HALL/CRC , 1993 .
[11] Arthur E. Hoerl,et al. Ridge Regression: Biased Estimation for Nonorthogonal Problems , 2000, Technometrics.
[12] A. E. Hoerl,et al. Ridge regression: biased estimation for nonorthogonal problems , 2000 .
[13] J. H. Moore,et al. Multifactor-dimensionality reduction reveals high-order interactions among estrogen-metabolism genes in sporadic breast cancer. , 2001, American journal of human genetics.
[14] Eric R. Ziegel,et al. Generalized Linear Models , 2002, Technometrics.
[15] Jason H. Moore,et al. An application of conditional logistic regression and multifactor dimensionality reduction for detecting gene-gene Interactions on risk of myocardial infarction: The importance of model validation , 2004, BMC Bioinformatics.
[16] V. Vieland,et al. Two-locus heterogeneity cannot be distinguished from two-locus epistasis on the basis of affected-sib-pair data. , 2003, American journal of human genetics.
[17] Jason H. Moore,et al. Multifactor dimensionality reduction software for detecting gene-gene and gene-environment interactions , 2003, Bioinform..
[18] Jason H. Moore,et al. Power of multifactor dimensionality reduction for detecting gene‐gene interactions in the presence of genotyping error, missing data, phenocopy, and genetic heterogeneity , 2003, Genetic epidemiology.
[19] T. Hastie,et al. Classification of gene microarrays by penalized logistic regression. , 2004, Biostatistics.
[20] Low-Tone Ho,et al. Tree-structured supervised learning and the genetics of hypertension. , 2004, Proceedings of the National Academy of Sciences of the United States of America.
[21] John S Witte,et al. Using hierarchical modeling in genetic association studies with multiple markers: application to a case-control study of bladder cancer. , 2004, Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology.
[22] M. Yuan,et al. Model selection and estimation in regression with grouped variables , 2006 .
[23] M. Kenward,et al. An Introduction to the Bootstrap , 2007 .