Review Article

A Review of Soft Computing Techniques for Gene Prediction

Table 2

Performance of soft computing techniques for protein-coding gene prediction.

Program (soft computing
technique used)
Exon levelNucleotide level
Sensitivity (ESn)Specificity (ESp)Sensitivity (Sn)Specificity (Sp)

GRAIL-I (NN1)53%90%
GeneParser (NN)83%83%
GRAIL-II (NN)89%91%91%90%
CODEX (NN)72%89%
GIN (NN)78%80%92%99%
MLFANN (NN)96.65%96.18%
SpyMGASLacGenePred (NN)100%76.90%
RescueNet (NN)89.39%89.04%
EG-MLP (NN)79%78%
Evolutionary algorithm (GA2)43%66%
MultiNNProm (NN + GA)98%97%
RBFN-combining (NN + GA)77%79%89%90%

NN (Neural network), 2GA (Genetic algorithms).