A semiparametric approach for marker gene selection based on gene expression data
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[1] H. Jeffreys. An invariant form for the prior probability in estimation problems , 1946, Proceedings of the Royal Society of London. Series A. Mathematical and Physical Sciences.
[2] M. Halperin,et al. Estimation of the multivariate logistic risk function: a comparison of the discriminant function and maximum likelihood approaches. , 1971, Journal of chronic diseases.
[3] N. Mantel,et al. Alternative tests for comparing normal distribution parameters based on logistic regression. , 1974, Biometrics.
[4] B. Efron. The Efficiency of Logistic Regression Compared to Normal Discriminant Analysis , 1975 .
[5] A. Albert,et al. On the existence of maximum likelihood estimates in logistic regression models , 1984 .
[6] Thomas J. Santner,et al. A note on A. Albert and J. A. Anderson's conditions for the existence of maximum likelihood estimates in logistic regression models , 1986 .
[7] R. Tibshirani. Estimating Transformations for Regression via Additivity and Variance Stabilization , 1988 .
[8] P. O'Brien,et al. Comparing Two Samples: Extensions of the t, Rank-Sum, and Log-Rank Tests , 1988 .
[9] R. Tibshirani. Variance stabilization and the bootstrap , 1988 .
[10] J. L. Hodges,et al. Discriminatory Analysis - Nonparametric Discrimination: Consistency Properties , 1989 .
[11] E. Lesaffre,et al. Multiple‐Group Logistic Regression Diagnostics , 1989 .
[12] Emmanuel Lesaffre,et al. Partial Separation in Logistic Discrimination , 1989 .
[13] Yoav Freund,et al. A decision-theoretic generalization of on-line learning and an application to boosting , 1995, EuroCOLT.
[14] G. Tallini,et al. ON THE EXISTENCE OF , 1996 .
[15] J. Qin,et al. A goodness-of-fit test for logistic regression models based on case-control data , 1997 .
[16] L. Breiman. Arcing Classifiers , 1998 .
[17] L. Breiman. Arcing classifier (with discussion and a rejoinder by the author) , 1998 .
[18] Biao Zhang. A chi-squared goodness-of-fit test for logistic regression models based on case-control data , 1999 .
[19] J. Mesirov,et al. Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. , 1999, Science.
[20] Gary A. Churchill,et al. Analysis of Variance for Gene Expression Microarray Data , 2000, J. Comput. Biol..
[21] R. Tibshirani,et al. Significance analysis of microarrays applied to the ionizing radiation response , 2001, Proceedings of the National Academy of Sciences of the United States of America.
[22] Biao Zhang,et al. An information matrix test for logistic regression models based on case-control data , 2001 .
[23] A D Long,et al. Improved Statistical Inference from DNA Microarray Data Using Analysis of Variance and A Bayesian Statistical Framework , 2001, The Journal of Biological Chemistry.
[24] Biao Zhang,et al. Assessing Goodness-of-Fit of Generalized Logit Models Based on Case-Control Data , 2002 .
[25] Martin Vingron,et al. Variance stabilization applied to microarray data calibration and to the quantification of differential expression , 2002, ISMB.
[26] Biao Zhang. An em algorithm for a semiparametric finite mixture model , 2002 .
[27] Danh V. Nguyen,et al. Multi-class cancer classification via partial least squares with gene expression profiles , 2002, Bioinform..
[28] S. Dudoit,et al. Comparison of Discrimination Methods for the Classification of Tumors Using Gene Expression Data , 2002 .
[29] S. Dudoit,et al. STATISTICAL METHODS FOR IDENTIFYING DIFFERENTIALLY EXPRESSED GENES IN REPLICATED cDNA MICROARRAY EXPERIMENTS , 2002 .
[30] David Ward,et al. Comparison of statistical methods for classification of ovarian cancer using mass spectrometry data , 2003, Bioinform..
[31] Zhong Guan,et al. A semiparametric changepoint model , 2004 .
[32] Leo Breiman,et al. Bagging Predictors , 1996, Machine Learning.