Pages that link to "Item:Q4468321"

The following pages link to Empirical Bayes Analysis of a Microarray Experiment (Q4468321):

Displaying 50 items.

• Balancing type one and two errors in multiple testing for differential expression of genes (Q961320) (← links)
• A robust unified approach to analyzing methylation and gene expression data (Q961331) (← links)
• A flexible approximate likelihood ratio test for detecting differential expression in microarray data (Q961838) (← links)
• Empirical Bayes analysis of unreplicated microarray data (Q964653) (← links)
• An empirical Bayes mixture method for effect size and false discovery rate estimation (Q977646) (← links)
• Bayesian decision theoretic approach to hypothesis problems with skewed alternatives (Q984650) (← links)
• Order thresholding (Q988008) (← links)
• A cross-validation based estimation of the proportion of true null hypotheses (Q988946) (← links)
• A nested mixture model for protein identification using mass spectrometry (Q993269) (← links)
• A geometric interpretation of the permutation \(p\)-value and its application in eQTL studies (Q993271) (← links)
• Empirical null and false discovery rate inference for exponential families (Q999664) (← links)
• Cluster analysis using multivariate normal mixture models to detect differential gene expression with microarray data (Q1010400) (← links)
• A clarifying comparison of methods for controlling the false discovery rate (Q1015854) (← links)
• A new multiple testing method in the dependent case (Q1018649) (← links)
• A semi-parametric approach for mixture models: application to local false discovery rate estimation (Q1020639) (← links)
• More powerful control of the false discovery rate under dependence (Q1039956) (← links)
• A note on multiple testing for composite null hypotheses (Q1044058) (← links)
• Resampling-based multiple testing for microarray data analysis (With comments) (Q1423855) (← links)
• Robbins, empirical Bayes and microarrays (Q1429308) (← links)
• Compound decision theory and empirical Bayes methods (Q1429309) (← links)
• The positive false discovery rate: A Bayesian interpretation and the \(q\)-value (Q1430922) (← links)
• Statistical challenges in functional genomics. (With comments and a rejoinder). (Q1431220) (← links)
• Multiple hypothesis testing in microarray experiments. (Q1431222) (← links)
• Generalized estimating equations by considering additive terms for analyzing time-course gene sets data (Q1622115) (← links)
• A high-dimensional two-sample test for the mean using random subspaces (Q1623444) (← links)
• Adjusted regularization in latent graphical models: application to multiple-neuron spike count data (Q1624826) (← links)
• Adjusted regularization of cortical covariance (Q1628355) (← links)
• Estimation of the proportion of true null hypotheses in high-dimensional data under dependence (Q1658319) (← links)
• A parametric model to estimate the proportion from true null using a distribution for \(p\)-values (Q1658359) (← links)
• Adjusting background noise in cluster analyses of longitudinal data (Q1658439) (← links)
• Ridge estimation of inverse covariance matrices from high-dimensional data (Q1659004) (← links)
• Bayesian nonparametric multiple testing (Q1659060) (← links)
• Simultaneous estimation based on empirical likelihood and general maximum likelihood estimation (Q1662032) (← links)
• A probabilistic framework for microarray data analysis: fundamental probability models and statistical inference (Q1716203) (← links)
• An extension of the \(K\)-means algorithm to clustering skewed data (Q1729355) (← links)
• Sequential prediction bounds for identifying differentially expressed genes in replicated microarray experiments (Q1765642) (← links)
• Decision theory results for one-sided multiple comparison procedures (Q1781154) (← links)
• A new perspective on robust \(M\)-estimation: finite sample theory and applications to dependence-adjusted multiple testing (Q1800789) (← links)
• A stochastic process approach to false discovery control. (Q1879929) (← links)
• FDR-controlling stepwise procedures and their false negatives rates (Q1888887) (← links)
• Optimal significance analysis of microarray data in a class of tests whose null statistic can be constructed (Q1936546) (← links)
• False discovery rate control with multivariate \(p\)-values (Q1951753) (← links)
• The false discovery rate for statistical pattern recognition (Q1951997) (← links)
• Optimal weighting for false discovery rate control (Q1951998) (← links)
• Multiple hypothesis testing on composite nulls using constrained \(p\)-values (Q1952052) (← links)
• Distributions associated with simultaneous multiple hypothesis testing (Q2040901) (← links)
• On the development of a local FDR-based approach to testing two-way classified hypotheses (Q2047368) (← links)
• Semi-supervised multiple testing (Q2084464) (← links)
• Local false discovery rate based methods for multiple testing of one-way classified hypotheses (Q2106790) (← links)
• Where to find needles in a haystack? (Q2125478) (← links)