Correlated structural features and their applications to exon recognition in DNA seqeunces

This paper presents a new approach for short gene recognition in DNA sequences. Three DNA structural features are selected from an analysis of fourteen structural features. The feature values are mapped to new values. Three DNA signals are generated by the three sets of mapped feature values. Then the three DNA signals are normalized and combined into one signal. An auto-regressive (AR) model is used for power spectral density (PSD) estimation of the signal. The experiment result obtained by this method is shown to be comparable to existing exon detection methods which use digital signal processing (DSP). Also the computation complexity of the new method is only 1/3 of that of the method proposed previously.

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