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All analyses were performed in SAS®, including its procedures PROC LOGISTIC, PROC CLUSTER and PROC MDS [ 28].
Figure 4 shows the ROC and pROC curves for BAYES and NUMDEN-SIM for comparison.
NUMDEN-SIM clearly outperforms BAYES Figure 4 ROC and pROC curves of BAYES and NUMDEN-SIM.
Figure 2 ROC and pROC curves of multiple-molecule query methods that aggregate ranks.
Figure 6 ROC and pROC curves of two-parameter multiple-molecule query methods.
Figure 6 displays the aggregated ROC and pROC curves of the three methods.
Similar(5)
Only the best pose per molecule was retrieved for the molecules of the datasets from the docking and pROC-AUC values were calculated thereof.
Statistical analyses was performed using PROC-MIXED for continuous variables and PROC-GLIMMIX of SAS 9.4 (SAS Institute Inc., Cary, NC) for binomial variables.
PROC MIXED and PROC GLIMMIX procedures were used to analyze all ECG- and HRV-generated data.
Linear and non-linear models to predict TSV and V were developed using PROC GLM and PROC NLIN in SAS (SAS-Institute-Inc, 2000).
This procedure was used as there was non-linearity in this model and PROC NLIN is able to accommodate a range of linear and non-linear functional forms.
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