Inproceedings,

Evolving Turing machines for Biosequences Recognition and Analysis

, and .
Genetic Programming, Proceedings of EuroGP'2001, volume 2038 of LNCS, page 192--203. Lake Como, Italy, Springer-Verlag, (18-20 April 2001)

Abstract

This article presents a genetic programming system for biosequence recognition and analysis. In our model, a population of Turing machines evolves the capability of biosequence recognition using genetic algorithms. We use HIV sequences as the working example. Experimental results indicate that evolved Turing machines are capable of recognizing HIV sequences in a collection of training sets. In addition, we demonstrate that the evolved Turing machines can be used to approximate the multiple sequence alignment problem.

Tags

Users

  • @brazovayeye

Comments and Reviews