A probabilistic model for detecting coding regions in DNA sequences

Abstract

A probabilistic model is presented to predict whether or not an anonymous sequence of DNA contains exons. The method is shown to be at least as reliable as Grail, a well-known neural network solution to the problem, and to be significantly more amenable to customization for specific prediction problems.