Evolving Protein Motifs Using a Stochastic Regular Language with Codon-Level Probabilities

Created by W.Langdon from gp-bibliography.bib Revision:1.8120

@InProceedings{oai:CiteSeerPSU:503706,

• title = "Evolving Protein Motifs Using a Stochastic Regular Language with Codon-Level Probabilities",
• author = "Brian J. Ross",
• year = "2002",
• booktitle = "6th IASTED International Conference, Artificial Intelligence and Soft Computing, ASC 2002",
• address = "The Banff Centre for Conferences, Box 1020, 107 Tunnel Mountain Drive, Banff, Alberta, T0L 0C0, Canada",
• month = "17-19 " # jul,
• organisation = "The International Association of Science and Technology for Development (IASTED)",
• keywords = "genetic algorithms, genetic programming, stochastic regular expressions, protein motif",
• citeseer-isreferencedby = "oai:CiteSeerPSU:79088",
• citeseer-references = "oai:CiteSeerPSU:42914; oai:CiteSeerPSU:212791; oai:CiteSeerPSU:215947; oai:CiteSeerPSU:331862; oai:CiteSeerPSU:503937; oai:CiteSeerPSU:506252",
• annote = "The Pennsylvania State University CiteSeer Archives",
• language = "en",
• oai = "oai:CiteSeerPSU:503706",
• rights = "unrestricted",
• URL = "http://www.cosc.brocku.ca/~bross/research/asc357035.pdf",
• URL = "http://citeseer.ist.psu.edu/503706.html",
• abstract = "Experiments involving the evolution of protein motifs using genetic programming are presented. The motifs use a stochastic regular expression language that uses codon-level probabilities within conserved sets (masks). Experiments compared basic genetic programming with Lamarckian evolution, as well as the use of {"}natural{"} probability distributions for masks obtained from the sequence database. It was found that Lamarckian evolution was detrimental to the probability performance of motifs. A comparison of evolved and natural mask probability schemes is inconclusive, since these strategies produce incompatible characterisations of motif fitness as used by the genetic programming system.",

}

Genetic Programming entries for Brian J Ross

Citations