Inference of Gene Expression Networks Using Memetic Gene Expression Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{Zarnegar09,
-
author = "Armita Zarnegar and Peter Vamplew and
Andrew Stranieri",
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title = "Inference of Gene Expression Networks Using Memetic
Gene Expression Programming",
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booktitle = "Thirty-Second Australasian Computer Science Conference
(ACSC 2009)",
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series = "CRPIT",
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volume = "91",
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pages = "17--23",
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year = "2009",
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editor = "Bernard Mans",
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address = "Wellington, New Zealand",
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keywords = "genetic algorithms, genetic programming, gene
expression programming, hill climbing, Differential
Equations, Gene Networks, Evolutionary Algorithm, Gene
expression Profile, Microarray data",
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publisher = "ACS",
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URL = "http://crpit.com/confpapers/CRPITV91Zarnegar.pdf",
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abstract = "In this paper we aim to infer a model of genetic
networks from time series data of gene expression
profiles by using a new gene expression programming
algorithm. Gene expression networks are modeled by
differential equations which represent temporal gene
expression relations. Gene Expression Programming is a
new extension of genetic programming. Here we combine a
local search method with gene expression programming to
form a hill climbing algorithm in order to find not
only the system of differential equations but also fine
tune its constant parameters. The effectiveness of the
proposed method is justified by comparing its
performance with that of conventional genetic
programming applied to this problem in previous
studies.",
-
notes = "School of Information Technology and Mathematical
Sciences, University of Ballarat, P.O. Box 663,
Ballarat, Victoria, Australia
",
- }
Genetic Programming entries for
Armita Zarnegar
Peter Vamplew
Andrew Stranieri
Citations