Figure 1
From: Multithreaded comparative RNA secondary structure prediction using stochastic context-free grammars
Comparison of RNA secondary structure prediction algorithms. The receiver operating characteristic (ROC) plots obtained from an independent study [12] simultaneously display both sensitivity and selectivity for various RNA secondary structure prediction algorithms, including pfold, iterated loop matching (ILE) and RNalifold. Accuracies of the minimum free energy (MFE) methods (MFold, RNAFold and SFold) are shown to provide a base-line. Points on the line X = Y are as sensitive as they are selective, points below this line indicates a greater selectivity, points above indicate greater sensitivity. Points in the top right corner are "perfect" predictions. Where the variance is sufficiently small, these have been indicated with a closed curve. Pfold compares very favourably to other algorithms for short sequences, but for long sequences underflow errors cause both the sensitivity and the specificity to drop to zero. Figure adapted with permission from [12].