A mixture model approach to sample size estimation in two-sample comparative microarray experiments
暂无分享,去创建一个
[1] Y. Benjamini,et al. Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .
[2] David M. Rocke,et al. A Model for Measurement Error for Gene Expression Arrays , 2001, J. Comput. Biol..
[3] Gordon K. Smyth,et al. limma: Linear Models for Microarray Data , 2005 .
[4] Karuturi R. Krishna Murthy,et al. Bias in the estimation of false discovery rate in microarray studies , 2005, Bioinform..
[5] H. Akaike,et al. Information Theory and an Extension of the Maximum Likelihood Principle , 1973 .
[6] G. Schwarz. Estimating the Dimension of a Model , 1978 .
[7] J. Davis. Bioinformatics and Computational Biology Solutions Using R and Bioconductor , 2007 .
[8] S. Dudoit,et al. Microarray expression profiling identifies genes with altered expression in HDL-deficient mice. , 2000, Genome research.
[9] Rafael A. Irizarry,et al. Bioinformatics and Computational Biology Solutions using R and Bioconductor , 2005 .
[10] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[11] Shuying S Li,et al. FDR‐controlling testing procedures and sample size determination for microarrays , 2005, Statistics in medicine.
[12] Peng Liu,et al. Quick calculation for sample size while controlling false discovery rate with application to microarray analysis , 2007, Bioinform..
[13] Sin-Ho Jung,et al. Sample size for FDR-control in microarray data analysis , 2005, Bioinform..
[14] L Howarth,et al. Methods of Mathematical Physics (Third Edition) , 1956 .
[15] Philip M. Morse,et al. Methods of Mathematical Physics , 1947, The Mathematical Gazette.
[16] N. L. Johnson,et al. Continuous Univariate Distributions. , 1995 .
[17] Robert Tibshirani,et al. A simple method for assessing sample sizes in microarray experiments , 2006, BMC Bioinformatics.
[18] John D. Storey. The positive false discovery rate: a Bayesian interpretation and the q-value , 2003 .
[19] Fred A. Wright,et al. Practical FDR-based sample size calculations in microarray experiments , 2005, Bioinform..
[20] 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 .
[21] Tommy S. Jørstad,et al. Understanding sample size: what determines the required number of microarrays for an experiment? , 2007, Trends in plant science.
[22] P. Müller,et al. Optimal Sample Size for Multiple Testing , 2004 .
[23] E. Spjøtvoll,et al. Plots of P-values to evaluate many tests simultaneously , 1982 .
[24] B. Lindqvist,et al. Estimating the proportion of true null hypotheses, with application to DNA microarray data , 2005 .
[25] Geoffrey J. McLachlan,et al. Finite Mixture Models , 2019, Annual Review of Statistics and Its Application.
[26] David B. Allison,et al. A mixture model approach for the analysis of microarray gene expression data , 2002 .
[27] S. Dudoit,et al. Resampling-based multiple testing for microarray data analysis , 2003 .
[28] John D. Storey. A direct approach to false discovery rates , 2002 .
[29] Yudi Pawitan,et al. False discovery rate, sensitivity and sample size for microarray studies , 2005, Bioinform..
[30] N. Higham. Computing the nearest correlation matrix—a problem from finance , 2002 .
[31] J. A. Ferreira,et al. Approximate Power and Sample Size Calculations with the Benjamini-Hochberg Method , 2006 .
[32] Cheng Cheng,et al. Sample size determination for the false discovery rate , 2005, Bioinform..
[33] David B. Allison,et al. Power and sample size estimation in high dimensional biology , 2004 .
[34] B. Lindsay. The Geometry of Mixture Likelihoods: A General Theory , 1983 .