Evolving Protein Motifs Using a Stochastic Regular Language with Codon-Level Probabilities
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @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