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A Genetic Programming Method for the Identification of Signal Peptides and Prediction of Their Cleavage Sites
2004
EURASIP Journal on Advances in Signal Processing
A novel approach to signal peptide identification is presented. We use an evolutionary algorithm for automatic evolution of classification programs, so-called programmatic motifs. The variant of evolutionary algorithm used is called genetic programming where a population of solution candidates in the form of full computer programs is evolved, based on training examples consisting of signal peptide sequences. The method is compared with a previous work using artificial neural network (ANN)
doi:10.1155/s1110865704309108
fatcat:j6lhlxzhrfgw7ml6lubaqszwtm