The provided tables and data describe the performance metrics of various algorithms, including ARACNe LOCAL, BANJO GLOBAL, BANJO LOCAL, BANJO DYNAMIC, NIR Global Static, NIR Local Static, Clustering Global static, and Clustering Dynamic. The metrics include parameters such as TE (True Error), PE (Pseudo-Error), PPV (Positive Predictive Value), Sensitivity (Sens), number of genes (nGenes), number of samples (nSamples), time (Time), and RND (Randomness). - **ARACNe LOCAL**: Provides specific error rates and sample sizes for different configurations. - **BANJO GLOBAL**: Offers detailed performance metrics for various settings, including TE, PE, PPV, Sens, nGenes, nSamples, time, and RND. - **BANJO LOCAL**: Similar to BANJO GLOBAL, but with specific local settings. - **BANJO DYNAMIC**: Focuses on dynamic settings, providing metrics for different time points and sample sizes. - **NIR Global Static**: Describes global static settings for NIR. - **NIR Local Static**: Similar to NIR Global Static but for local settings. - **Clustering Global static**: Provides metrics for global static clustering. - **Clustering Dynamic**: Offers metrics for dynamic clustering. - **Clustering Local Static**: Similar to Clustering Global static but for local settings. Each section includes a range of values for these metrics, indicating the variability in performance across different configurations and settings.The provided tables and data describe the performance metrics of various algorithms, including ARACNe LOCAL, BANJO GLOBAL, BANJO LOCAL, BANJO DYNAMIC, NIR Global Static, NIR Local Static, Clustering Global static, and Clustering Dynamic. The metrics include parameters such as TE (True Error), PE (Pseudo-Error), PPV (Positive Predictive Value), Sensitivity (Sens), number of genes (nGenes), number of samples (nSamples), time (Time), and RND (Randomness). - **ARACNe LOCAL**: Provides specific error rates and sample sizes for different configurations. - **BANJO GLOBAL**: Offers detailed performance metrics for various settings, including TE, PE, PPV, Sens, nGenes, nSamples, time, and RND. - **BANJO LOCAL**: Similar to BANJO GLOBAL, but with specific local settings. - **BANJO DYNAMIC**: Focuses on dynamic settings, providing metrics for different time points and sample sizes. - **NIR Global Static**: Describes global static settings for NIR. - **NIR Local Static**: Similar to NIR Global Static but for local settings. - **Clustering Global static**: Provides metrics for global static clustering. - **Clustering Dynamic**: Offers metrics for dynamic clustering. - **Clustering Local Static**: Similar to Clustering Global static but for local settings. Each section includes a range of values for these metrics, indicating the variability in performance across different configurations and settings.