Skip to main content

Advertisement

Table 1 Sensitivity and specificity of evolved SCFGs and other prediction methods

From: Evolving stochastic context-free grammars for RNA secondary structure prediction

Grammar KH99 GG1 GG2 GG3 GG4 GG5 GG6 KH99 UNAfold RNAfold Pfold
Our data            
Sensitivity 0.496 0.505 0.408 0.413 0.474 0.469 0.526     
PPV 0.479 0.481 0.551 0.550 0.454 0.467 0.479     
F–score 0.478 0.441 0.473 0.470 0.461 0.339 0.488     
DE data            
Sensitivity 0.465 0.466 0.372 0.379 0.408 0.487 0.465 0.47 0.558 0.558 0.39
PPV 0.406 0.405 0.643 0.646 0.344 0.432 0.376 0.45 0.501 0.495 0.69
F–score 0.480 0.468 0.466 0.472 0.430 0.479 0.451     
  1. The sensitivities, PPVs, and F–scores of grammars GG1–GG6 and KH99 on the evaluation set and on the on the[14] data, as well as the benchmarked sensitivities and PPVs of UNAfoldv3.8 and RNAfoldv1.85 on the[14] data. Results for KH99 and Pfold are taken from[14].