Recognizing patterns in protein sequences using iteration-performing calculations in genetic programming. Proceedings of the First IEEE Conference on Evolutionary Computation. Volume I. Page 244-249. The program's goal is to recognize a given protein segment as being a transmembrane domain or non-transmembrane area of the protein. Genetic programming with automatic function definition is given a training set of differently-sized mouse protein segments and their correct classification.
Correlation is used as the fitness measure.
A restricted form of iteration is introduced to enable genetic programming to perform calculations on the values returned by the detectors. This error rate is better than that recently reported for five other methods. Click for a Postscript copy of this ICEC-94 conference paper . Koza, John R. 1994g. Automated discovery of detectors and iteration-performing calculations to recognize patterns in protein sequences using genetic programming.