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Gene finding and rule discovery with a multi-objective neural-genetic hybrid

Published: 07 July 2007 Publication History

Abstract

In this paper, we describe a multi-objective neural-genetic gene finding technique.

References

[1]
Keedwell, E. and Narayanan, A., (2005) Discovering Gene Regulatory Networks with a Neural--Genetic Hybrid IEEE/ACM Transactions on Computational Biology and Bioinformatics, July--September 2005, Vol 2., No.3, pp 231--243, IEEE Computer Society
[2]
Page, D et al (2002). Comparative Data Mining for Microarrays: A Case Study Based on Multiple Myeloma. Technical Report 1453, Computer Sciences Department, University of Wisconsin.
[3]
Golub, T. R., et al (1999). Molecular classification of cancer: Class discovery and class prediction by gene expression monitoring. Science 286, 531--537.

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  1. Gene finding and rule discovery with a multi-objective neural-genetic hybrid

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        cover image ACM Conferences
        GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation
        July 2007
        2313 pages
        ISBN:9781595936974
        DOI:10.1145/1276958

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        Association for Computing Machinery

        New York, NY, United States

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        Published: 07 July 2007

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        Author Tags

        1. gene expression analysis
        2. multi-objective genetic algorithms

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        GECCO '07 Paper Acceptance Rate 266 of 577 submissions, 46%;
        Overall Acceptance Rate 1,669 of 4,410 submissions, 38%

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