Size, power and false discovery rates
暂无分享,去创建一个
[1] J. K. Lindsey,et al. Comparison of Probability Distributions , 1974 .
[2] J. K. Lindsey,et al. Construction and Comparison of Statistical Models , 1974 .
[3] S. S. Young,et al. Resampling-Based Multiple Testing: Examples and Methods for p-Value Adjustment , 1993 .
[4] Y. Benjamini,et al. Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .
[5] R. Tibshirani,et al. Using specially designed exponential families for density estimation , 1996 .
[6] G. A. Whitmore,et al. Importance of replication in microarray gene expression studies: statistical methods and evidence from repetitive cDNA hybridizations. , 2000, Proceedings of the National Academy of Sciences of the United States of America.
[7] Gary A. Churchill,et al. Analysis of Variance for Gene Expression Microarray Data , 2000, J. Comput. Biol..
[8] 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.
[9] Bradley Efron,et al. Scales of Evidence for Model Selection: Fisher versus Jeffreys , 2001 .
[10] Discussion of Bradley Efron and Alan Gous, "Scales of Evidence for Model Selection: Fisher versus Jeffreys" , 2001 .
[11] Christina Kendziorski,et al. On Differential Variability of Expression Ratios: Improving Statistical Inference about Gene Expression Changes from Microarray Data , 2001, J. Comput. Biol..
[12] John D. Storey,et al. Empirical Bayes Analysis of a Microarray Experiment , 2001 .
[13] David B. Allison,et al. A mixture model approach for the analysis of microarray gene expression data , 2002 .
[14] John D. Storey. A direct approach to false discovery rates , 2002 .
[15] E. Lander,et al. Gene expression correlates of clinical prostate cancer behavior. , 2002, Cancer cell.
[16] R. Tibshirani,et al. Empirical bayes methods and false discovery rates for microarrays , 2002, Genetic epidemiology.
[17] B. Efron. Large-Scale Simultaneous Hypothesis Testing , 2004 .
[18] Roger E Bumgarner,et al. Cellular Gene Expression upon Human Immunodeficiency Virus Type 1 Infection of CD4+-T-Cell Lines , 2003, Journal of Virology.
[19] C M Kendziorski,et al. On parametric empirical Bayes methods for comparing multiple groups using replicated gene expression profiles , 2003, Statistics in medicine.
[20] Wei Pan,et al. A mixture model approach to detecting differentially expressed genes with microarray data , 2003, Functional & Integrative Genomics.
[21] S. Dudoit,et al. Multiple Hypothesis Testing in Microarray Experiments , 2003 .
[22] K. Pollard,et al. Resampling-based Multiple Testing: Asymptotic Control of Type I Error and Applications to Gene Expression Data , 2003 .
[23] Stan Pounds,et al. Estimating the Occurrence of False Positives and False Negatives in Microarray Studies by Approximating and Partitioning the Empirical Distribution of P-values , 2003, Bioinform..
[24] John D. Storey,et al. Strong control, conservative point estimation and simultaneous conservative consistency of false discovery rates: a unified approach , 2004 .
[25] Weichung Joe Shih,et al. A mixture model for estimating the local false discovery rate in DNA microarray analysis , 2004, Bioinform..
[26] Per Broberg,et al. A new estimate of the proportion unchanged genes in a microarrayexperiment , 2004, Genome Biology.
[27] Sandrine Dudoit,et al. Multiple Testing. Part I. Single-Step Procedures for Control of General Type I Error Rates , 2004, Statistical applications in genetics and molecular biology.
[28] Deepayan Sarkar,et al. Detecting differential gene expression with a semiparametric hierarchical mixture method. , 2004, Biostatistics.
[29] I. Johnstone,et al. Needles and straw in haystacks: Empirical Bayes estimates of possibly sparse sequences , 2004, math/0410088.
[30] L. Wasserman,et al. A stochastic process approach to false discovery control , 2004, math/0406519.
[31] Jean-Jacques Daudin,et al. Determination of the differentially expressed genes in microarray experiments using local FDR , 2004, BMC Bioinformatics.
[32] P. Müller,et al. A Bayesian mixture model for differential gene expression , 2005 .
[33] B. Efron. Correlation and Large-Scale Simultaneous Significance Testing , 2007 .
[34] B. Lindqvist,et al. Estimating the proportion of true null hypotheses, with application to DNA microarray data , 2005 .
[35] Bradley Efron,et al. Local False Discovery Rates , 2005 .
[36] Yudi Pawitan,et al. False discovery rate, sensitivity and sample size for microarray studies , 2005, Bioinform..
[37] Roger E Bumgarner,et al. Bayesian Robust Inference for Differential Gene Expression in Microarrays with Multiple Samples , 2004, Biometrics.
[38] G. Gibson,et al. Analysis of variance of microarray data. , 2006, Methods in enzymology.
[39] M. Newton. Large-Scale Simultaneous Hypothesis Testing: The Choice of a Null Hypothesis , 2008 .