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JACIII Vol.18 No.3 pp. 401-408
doi: 10.20965/jaciii.2014.p0401
(2014)

Paper:

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Learning of Glycan Motifs Using Genetic Programming and Various Fitness Functions

Tetsuhiro Miyahara* and Tetsuji Kuboyama**

*Graduate School of Information Sciences, Hiroshima City University, 3-4-1 Ozuka-higashi, Asaminami-ku, Hiroshima 731-3194, Japan

**Computer Centre, Gakushuin University, 1-7-1 Mejiro, Toshima-ku, Tokyo 151-8588, Japan

Received:
October 15, 2013
Accepted:
March 2, 2014
Published:
May 20, 2014
Creative Commons License
Keywords:
genetic programming, tree patterns, glycan motifs
Abstract
We apply a genetic programming approach to learning of glycan motifs by using tag tree patterns and various fitness functions. Tag tree patterns obtained from some glycan data show characteristic tree structures. We examine the effects of using various fitness functions on GP processes and obtained glycan motifs. We also show that our method is applicable to tree structured data other than glycan data.
Cite this article as:
T. Miyahara and T. Kuboyama, “Learning of Glycan Motifs Using Genetic Programming and Various Fitness Functions,” J. Adv. Comput. Intell. Intell. Inform., Vol.18 No.3, pp. 401-408, 2014.
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