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A Genetic Programming Approach to Extraction of Glycan Motifs Using Tree Structured Patterns

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AI 2007: Advances in Artificial Intelligence (AI 2007)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4830))

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Abstract

We propose a genetic programming approach to extraction of glycan motifs by using tag tree patterns, which are tree structured patterns with structured variables. A structured variable in a tag tree pattern can be substituted by an arbitrary tree. Our experiments show that we have obtained tag tree patterns as the best individuals including similar substructures of glycan motifs obtained by the previous works.

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Mehmet A. Orgun John Thornton

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© 2007 Springer-Verlag Berlin Heidelberg

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Nagamine, M., Miyahara, T., Kuboyama, T., Ueda, H., Takahashi, K. (2007). A Genetic Programming Approach to Extraction of Glycan Motifs Using Tree Structured Patterns. In: Orgun, M.A., Thornton, J. (eds) AI 2007: Advances in Artificial Intelligence. AI 2007. Lecture Notes in Computer Science(), vol 4830. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76928-6_17

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  • DOI: https://doi.org/10.1007/978-3-540-76928-6_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-76926-2

  • Online ISBN: 978-3-540-76928-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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