Experimental Determination of Drosophila Embryonic Coordinates by Genetic Algorithms, the Simplex Method, and Their Hybrid
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Modern large-scale “functional genomics” projects are inconceivable without the automated processing and computer-aided analysis of images. The project we are engaged in is aimed at the construction of heuristic models of segment determination in the fruit fly Drosophila melanogaster. The current emphasis in our work is the automated transformation of gene expression data in confocally scanned images into an electronic database of expression. We have developed and tested programs which use genetic algorithms for the elastic deformation of such images. In addition, genetic algorithms and the simplex method, both separately and in concert, were used for experimental determination of Drosophila embryonic curvilinear coordinates. Comparative tests demonstrate that the hybrid approach performs best. The intrinsic curvilinear coordinates of the embryo found by our optimization procedures appear to be well approximated by lines of isoconcentration of a known morphogen, Bicoid.
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- Experimental Determination of Drosophila Embryonic Coordinates by Genetic Algorithms, the Simplex Method, and Their Hybrid
- Book Title
- Real-World Applications of Evolutionary Computing
- Book Subtitle
- EvoWorkshops 2000: EvoIASP, EvoSCONDI, EvoTel, EvoSTIM, EvoRob, and EvoFlight Edinburgh, Scotland, UK, April 17, 2000 Proceedings
- pp 97-106
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- Lecture Notes in Computer Science
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- Springer Berlin Heidelberg
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- Springer-Verlag Berlin Heidelberg
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- Stefano Cagnoni (4)
- Editor Affiliations
- 4. Department of Computer Engineering, University of Parma
- Author Affiliations
- 5. The Sechenov Institute of Evolutionary Physiology and Biochemistry, 44 Thorez Ave., St. Petersburg, 194223, Russia
- 6. Dept. of Automation and Control Systems, Polytechnic University, 29 Polytechnic St, St. Petersburg, 194064, Russia
- 7. Dept. of Biochemistry and Molecular Biology, Mt. Sinai Medical School, Box 1020, One Gustave L. Levy Place, New York, NY, 10029, USA
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