In comparison to Fig 3, here only genes with true underlying value of parameter smaller than 6.91 are considered.</p
Stochastic dependence between gene expression levels in microarray data is of critical importance fo...
<p>The means of two different kinds of samples in the data are used. Red dots indicate differentiall...
<p>Bayesian skyline plot obtained with the mitochondrial DNA dataset, showing changes in effective p...
Effect of the three Bayes approaches on the MSE of individual genes, in comparison to the direct est...
Points represent genes, and they are colored according to the comparison of the performance of the t...
In recent microarray experiments thousands of gene expressions are simultaneously tested in comparin...
Histogram-based empirical Bayes methods developed for analyzing data for large numbers of genes, SNP...
<p>Density plots represent the distribution of the average Empirical Bayes (EB) estimate across MixM...
Motivation: Statistical tests for the detection of differentially expressed genes lead to a large co...
Background: When analyzing microarray data a primary objective is often to find differentially expre...
Background: The detection of small yet statistically significant differences in gene expression in s...
<p>The error bar at each data point is the standard error of MAE based on <i>in silico</i> experimen...
Each dot in the MA diagram of differentially expressed genes represents a gene. Abscissa is A value....
The accuracy of MAF estimates per locus is defined as the differences between estimated and true MAF...
<p>The Bayes factors are given for each possible comparison of strategies in the three last columns ...
Stochastic dependence between gene expression levels in microarray data is of critical importance fo...
<p>The means of two different kinds of samples in the data are used. Red dots indicate differentiall...
<p>Bayesian skyline plot obtained with the mitochondrial DNA dataset, showing changes in effective p...
Effect of the three Bayes approaches on the MSE of individual genes, in comparison to the direct est...
Points represent genes, and they are colored according to the comparison of the performance of the t...
In recent microarray experiments thousands of gene expressions are simultaneously tested in comparin...
Histogram-based empirical Bayes methods developed for analyzing data for large numbers of genes, SNP...
<p>Density plots represent the distribution of the average Empirical Bayes (EB) estimate across MixM...
Motivation: Statistical tests for the detection of differentially expressed genes lead to a large co...
Background: When analyzing microarray data a primary objective is often to find differentially expre...
Background: The detection of small yet statistically significant differences in gene expression in s...
<p>The error bar at each data point is the standard error of MAE based on <i>in silico</i> experimen...
Each dot in the MA diagram of differentially expressed genes represents a gene. Abscissa is A value....
The accuracy of MAF estimates per locus is defined as the differences between estimated and true MAF...
<p>The Bayes factors are given for each possible comparison of strategies in the three last columns ...
Stochastic dependence between gene expression levels in microarray data is of critical importance fo...
<p>The means of two different kinds of samples in the data are used. Red dots indicate differentiall...
<p>Bayesian skyline plot obtained with the mitochondrial DNA dataset, showing changes in effective p...
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