  A self-organizing approach is proposed for gene finding based on the model of
codon usage for coding regions and positional preference for noncoding regions.
The symmetry between the direct and reverse coding regions is adopted for
reducing the number of parameters. Without requiring prior training, parameters
are estimated by iteration. By employing the window sliding technique and
likelihood ratio, a very accurate segmentation is obtained.
