An Improved Position Weight Matrix Method Based on an Entropy Measure for the Recognition of Prokaryotic Promoters

In this paper, an improved position weight matrix (PWM) method is proposed based on an entropy measure for the recognition of prokaryotic promoters. In this method, the conservative sites of the prokaryotic promoters are firstly extracted according to an entropy measure, two improved position weight matrices are then constructed, after which by using the values of the matrix elements in the specific columns corresponding to the extracted conservative sites, the test sequences are scored and subsequently classified. Experiment results on several data sets show that the proposed algorithm outperforms the existing algorithms.