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Figure 3: Average AUC scores from different association-based CLR methods for networks with larger and smaller numbers of expression profiles; Group A: networks constructed with smaller number of gene expression samples (30~90 samples), Group B: networks constructed with larger number of expression samples (100~1000). AUC scores were obtained through varying different threhold settings. A perfect model will have AUC score of 1, while random guessing will score an AUC around 0.5.