Table 6.
Sensitivity and specificity information calculated from 48 candidate genes
Normalization method | ||
---|---|---|
RPKM | TMM | |
TP (true positives) | 4 | 6 |
TN (true negatives) | 19 | 12 |
FP (false positives) | 19 | 26 |
FN (false negatives) | 5 | 3 |
TPR (sensitivity) | 0.44 | 0.67 |
TNR (specificity) | 0.50 | 0.32 |
Values for both RPKM and TMM expression measures from the 454 data are shown. Sensitivity is calculated as the number of true positives over the number of all positives; Specificity is the number of true negatives divided by all negatives.