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Table 3 ROC

From: Unraveling gene regulatory networks from time-resolved gene expression data -- a measures comparison study

true positives

correctly identified true edges

tp

false positives

spurious edges

fp

true negatives

correctly identified zero edges

tn

false negatives

unrecognized true edges

fn

positives

all true edges

p = tp + fn

negatives

all zero edges

n = tn + fp

false positive rate

part of negatives set positive

fpr = fp/n

true positive rate

part of positives set positive

tpr = tp/p

false negative rate

part of positives set negative

fnr = fn/p

true negative rate

part of negatives set negative

tnr = tn/n

recall (sensitivity)

true positive rate

tpr

specificity

true negative rate

tnr

precision

positive predictive value

tp/(tp + fp)

  1. Summary of important quantities in ROC analysis.