<p>Performance plot of one-sample significance tests under different simulation settings. Traces show the true positive rate (TPR) of the respective tests for a given number of replicates. Bars at bottom denote the false discovery rate (FDR). TPR and FDR are averaged over ten independent simulations. All tests were set to control the FDR at 0.05.</p
<p>The figures show SCREEN’s estimations vs. real fdr values for different <i>k</i> values. The numb...
<p>Power (A) of each QTL was calculated as the proportion of runs where the QTL was identified in a ...
<p>The fold changes of DE genes are fixed at 1.5 (half of the DE genes are over-expressed and the ot...
<p>Simulation results: The number of true positives and false positives detected by CPBayes and ASSE...
<p>False discovery rate (FDR) and false negative rate (FNR) are reported together with true positive...
<p>False Discovery Rate (FDR) (P-value<0.05) to control the false discoveries in multiple hypothesis...
<p>The plot indicates that the FDRs estimated by PIPs are mostly accurate and become slightly conser...
<p>Comparing the false discovery rate (fdr) adjusted obtained from an analysis of both datasets usi...
<p>The False Discovery Rate (FDR) method for multiple comparisons utilises a variable criterion rang...
<p>Simulation results: The number of true positives and false positives detected by CPBayes at diffe...
In each set of boxes corresponding to the dataset, different percentages (P) of simulated DA feature...
<p>True positive rate as a function of false positive rate in simulations with all forty replicate d...
<p>(A): SGoF's log-significance plot; (B): SGoF's number of effects; (C): SGoF's FDR; (D): SGoF's th...
<p>On each curve, we marked the position corresponding to a reported FDR of 10% with a cross. The fo...
Distributions of multi-class macro F1 scores were compared using t-tests. The adjusted P value repor...
<p>The figures show SCREEN’s estimations vs. real fdr values for different <i>k</i> values. The numb...
<p>Power (A) of each QTL was calculated as the proportion of runs where the QTL was identified in a ...
<p>The fold changes of DE genes are fixed at 1.5 (half of the DE genes are over-expressed and the ot...
<p>Simulation results: The number of true positives and false positives detected by CPBayes and ASSE...
<p>False discovery rate (FDR) and false negative rate (FNR) are reported together with true positive...
<p>False Discovery Rate (FDR) (P-value<0.05) to control the false discoveries in multiple hypothesis...
<p>The plot indicates that the FDRs estimated by PIPs are mostly accurate and become slightly conser...
<p>Comparing the false discovery rate (fdr) adjusted obtained from an analysis of both datasets usi...
<p>The False Discovery Rate (FDR) method for multiple comparisons utilises a variable criterion rang...
<p>Simulation results: The number of true positives and false positives detected by CPBayes at diffe...
In each set of boxes corresponding to the dataset, different percentages (P) of simulated DA feature...
<p>True positive rate as a function of false positive rate in simulations with all forty replicate d...
<p>(A): SGoF's log-significance plot; (B): SGoF's number of effects; (C): SGoF's FDR; (D): SGoF's th...
<p>On each curve, we marked the position corresponding to a reported FDR of 10% with a cross. The fo...
Distributions of multi-class macro F1 scores were compared using t-tests. The adjusted P value repor...
<p>The figures show SCREEN’s estimations vs. real fdr values for different <i>k</i> values. The numb...
<p>Power (A) of each QTL was calculated as the proportion of runs where the QTL was identified in a ...
<p>The fold changes of DE genes are fixed at 1.5 (half of the DE genes are over-expressed and the ot...