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Figure 4: Simulation Results for M = 1,000 Features and Normally-Distributed Independent Test Statistics.
doi 10.7717/peerj.6035/fig-4
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Figure 5: Simulation Results for M = 10,000 Features and Normally-Distributed Independent Test Statistics.
Figure 6: Simulation Results for M = 1,000 Features and Normally-Distributed Independent Test Statistics Comparing Our Proposed Approach (BL) to the Storey Approach in Terms of FDR and TPR.
Table 2: Simulation Results for M = 1,000 Features, 200 Runs for Each Scenario, Independent Test Statistics.
Figure 7: Simulation Results for M = 1,000 Features and T-Distributed Independent Test Statistics Comparing Our Proposed Approach (BL) to the Storey Approach in Terms of FDR and TPR.
Table 3: Simulation Results for M = 10,000 Features, 200 Runs for Each Scenario, Independent Test Statistics.
Figure 8: Simulation Results for M = 1,000 Features, Considering the Global Null ${{\Rm{\pi }}_0} \Equiv 1$.
Parametric Test for Non-Normally Distributed Continuous Data: For and Against
Electronic physician
Table 4: Descriptive Statistics and Results of Kruskal–Wallis Test for Mollusc Classes.
Figure 2: Distribution of Movements Over 1,000 M.
