Hierarchical Bayes variable selection and microarray experiments

[1]  S. Richardson,et al.  Bayesian Modeling of Differential Gene Expression , 2006, Biometrics.

[2]  Jianqing Fan,et al.  Semilinear High-Dimensional Model for Normalization of Microarray Data , 2005 .

[3]  Jian Huang,et al.  A Two-Way Semilinear Model for Normalization and Analysis of cDNA Microarray Data , 2005 .

[4]  Terry Speed,et al.  Microarray analysis of two interacting treatments: a linear model and trends in expression over time , 2005 .

[5]  Göran Kauermann,et al.  Modeling Microarray Data Using a Threshold Mixture Model , 2004, Biometrics.

[6]  Deepayan Sarkar,et al.  Detecting differential gene expression with a semiparametric hierarchical mixture method. , 2004, Biostatistics.

[7]  Gordon K Smyth,et al.  Statistical Applications in Genetics and Molecular Biology Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments , 2011 .

[8]  C M Kendziorski,et al.  On parametric empirical Bayes methods for comparing multiple groups using replicated gene expression profiles , 2003, Statistics in medicine.

[9]  Scott L. Zeger,et al.  The Analysis of Gene Expression Data: An Overview of Methods and Software , 2003 .

[10]  C. Cotsapas,et al.  Genetic variation and the control of transcription. , 2003, Cold Spring Harbor Symposia on Quantitative Biology.

[11]  Sandrine Dudoit,et al.  Bioconductor R Packages for Exploratory Analysis and Normalization of cDNA Microarray Data , 2003 .

[12]  Christina Kendziorski,et al.  Parametric Empirical Bayes Methods for Microarrays , 2003 .

[13]  J. Ibrahim,et al.  Bayesian Models for Gene Expression With DNA Microarray Data , 2002 .

[14]  Sylvia Richardson,et al.  Bayesian Hierarchical Model for Identifying Changes in Gene Expression from Microarray Experiments , 2002, J. Comput. Biol..

[15]  Pierre Baldi,et al.  A Bayesian framework for the analysis of microarray expression data: regularized t -test and statistical inferences of gene changes , 2001, Bioinform..

[16]  Ingrid Lönnstedt.  Replicated microarray data , 2001 .

[17]  Jun S. Liu,et al.  Monte Carlo strategies in scientific computing , 2001 .

[18]  Dean Phillips Foster,et al.  Calibration and empirical Bayes variable selection , 2000 .

[19]  R. Tibshirani.  Regression Shrinkage and Selection via the Lasso , 1996 .

[20]  Y. Benjamini,et al.  Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .

[21]  Dean P. Foster,et al.  The risk inflation criterion for multiple regression , 1994 .

[22]  G. Schwarz.  Estimating the Dimension of a Model , 1978 .

[23]  H. Akaike,et al.  Information Theory and an Extension of the Maximum Likelihood Principle , 1973 .