Feature selection convergence time comparison of various binary metaheuristic algorithms. حسب Amal H. Alharbi (21755906)

The flowchart showing the optimization process of the hybrid methods using BEOSA as the base algorithm and SA and FFA as integrated algorithms. حسب Olaide N. Oyelade (14047002)

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Summary of the application to the TCGA lung cancer datasets. حسب Yi-Wen Hsiao (13767916)

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Performance of the ceRNAR package with different correlation cutoffs and merging sizes with a fixed correlation value (0.9) and a fixed window size (40). حسب Yi-Wen Hsiao (13767916)

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The result of the accuracy of tested algorithms. حسب Nebojsa Bacanin (13932723)

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Feature selection ratio results for tested algorithms. حسب Nebojsa Bacanin (13932723)

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Best fitness value results for tested algorithms. حسب Nebojsa Bacanin (13932723)

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Mean fitness value results for tested algorithms. حسب Nebojsa Bacanin (13932723)

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Standard deviation of fitness value results for tested algorithms. حسب Nebojsa Bacanin (13932723)

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A graphic overview illustrates the random walk and permutation test in the <i>ceRNApairFiltering</i> method. حسب Yi-Wen Hsiao (13767916)

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A graphic overview illustrates sorting and correlation calculation in the <i>ceRNApairFiltering</i> method. حسب Yi-Wen Hsiao (13767916)

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Run time comparisons between published tools and our package. حسب Yi-Wen Hsiao (13767916)

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Performance of the ceRNAR package in five scenarios under the complete version using synthetic data with randomly selected correlation values from 0.3 to 0.9. حسب Yi-Wen Hsiao (13767916)

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Performance comparisons between ceRNIA, JAMI, SPONGE, GDCRNATools and ceRNAR packages using synthetic data that mimic the real-world case. حسب Yi-Wen Hsiao (13767916)

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Performance of the ceRNAR package in five scenarios under the complete version using synthetic data with a fixed correlation value (0.9). حسب Yi-Wen Hsiao (13767916)

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Performance of the ceRNAR package with different proportions of correlated samples in scenario III under the fast version using synthetic data with a fixed correlation value (0.9). حسب Yi-Wen Hsiao (13767916)

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The meanings of score S are based on the values of P_obey and P_violate. حسب Yi-Wen Hsiao (13767916)

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The performance of our proposed method in four scenarios (I to IV) uses simulated data that mimics real-world data distribution with the complete version. حسب Yi-Wen Hsiao (13767916)

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The graphical outputs of the <i>ceRNAModule</i>, <i>ceRNASurvial</i>, and <i>ceRNALocation</i> functions. حسب Yi-Wen Hsiao (13767916)

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The graphical bubble outputs of the <i>ceRNAFunction</i> function are based on over-representation analysis (ORA). حسب Yi-Wen Hsiao (13767916)

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