<p>The plot indicates that the FDRs estimated by PIPs are mostly accurate and become slightly conservative for large FDR values.</p
Some extended false discovery rate (FDR) controlling multiple testing procedures rely heavily on emp...
Motivation Presently available methods that use p-values to estimate or control the false discovery ...
Background: In high-throughput studies, hundreds to millions of hypotheses are typically tested. Sta...
<p>Comparing the false discovery rate (fdr) adjusted obtained from an analysis of both datasets usi...
In each set of boxes corresponding to the dataset, different percentages (P) of simulated DA feature...
<p>False Discovery Rate (FDR) (P-value<0.05) to control the false discoveries in multiple hypothesis...
Recent multiple testing (see also Multiple comparisons) applications have benefited from the introd...
Abstract Background Procedures for controlling the false discovery rate (FDR) are widely applied as ...
<p>Performance plot of one-sample significance tests under different simulation settings. Traces sho...
<p>Simulation results: The number of true positives and false positives detected by CPBayes and ASSE...
<p>The False Discovery Rate (FDR) method for multiple comparisons utilises a variable criterion rang...
<p>False discovery rate (FDR) and false negative rate (FNR) are reported together with true positive...
<p>Abbreviations: FDR1 (FDR from the pathway analysis performed using physical distance only), FDR2 ...
Stepdown FDR procedures are developed for testing very large numbers of hypotheses when the expected...
Summary. Multiple-hypothesis testing involves guarding against much more complicated errors than sin...
Some extended false discovery rate (FDR) controlling multiple testing procedures rely heavily on emp...
Motivation Presently available methods that use p-values to estimate or control the false discovery ...
Background: In high-throughput studies, hundreds to millions of hypotheses are typically tested. Sta...
<p>Comparing the false discovery rate (fdr) adjusted obtained from an analysis of both datasets usi...
In each set of boxes corresponding to the dataset, different percentages (P) of simulated DA feature...
<p>False Discovery Rate (FDR) (P-value<0.05) to control the false discoveries in multiple hypothesis...
Recent multiple testing (see also Multiple comparisons) applications have benefited from the introd...
Abstract Background Procedures for controlling the false discovery rate (FDR) are widely applied as ...
<p>Performance plot of one-sample significance tests under different simulation settings. Traces sho...
<p>Simulation results: The number of true positives and false positives detected by CPBayes and ASSE...
<p>The False Discovery Rate (FDR) method for multiple comparisons utilises a variable criterion rang...
<p>False discovery rate (FDR) and false negative rate (FNR) are reported together with true positive...
<p>Abbreviations: FDR1 (FDR from the pathway analysis performed using physical distance only), FDR2 ...
Stepdown FDR procedures are developed for testing very large numbers of hypotheses when the expected...
Summary. Multiple-hypothesis testing involves guarding against much more complicated errors than sin...
Some extended false discovery rate (FDR) controlling multiple testing procedures rely heavily on emp...
Motivation Presently available methods that use p-values to estimate or control the false discovery ...
Background: In high-throughput studies, hundreds to millions of hypotheses are typically tested. Sta...
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