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Gene Finding Using Evolvable Reasoning Hardware

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Evolvable Systems: From Biology to Hardware (ICES 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2606))

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Abstract

We have proposed and developed an evolvable reasoning hardware (ERHW) already. In this paper, we apply the ERHW to the gene finding task that is one of the most important tasks in the genome informatics. We evaluate the ERHW using human and other living organisms’ DNAs. The ERHW shows high reasoning accuracy of 95.8% and high reasoning speed of 280ns.

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References

  1. Moore, S. K.: Understanding the human genome. IEEE spectrum, 37 No. 11 (2001) 33–42.

    Article  Google Scholar 

  2. Feitelson, D. G., and Treinin, M.: The Blueprint for Life? IEEE Computer, 35 No. 7 (2002) 34–40.

    Google Scholar 

  3. Yasunaga, M., Yoshihara, I., and Kim, J. H.: Evolvable Reasoning Hardware: Its Prototyping and Performance Evaluation. Journal of Genetic Programming and Evolvable Machines, Kluwer Academic Publishers, 2 No. 3 (2001) 211–230.

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  4. Fukunaga, K.: Introduction to Statistical Pattern Recognition. Academic Press (1990).

    Google Scholar 

  5. Brown, T.:Genomes. BIOS Scientific Publishers Ltd.(1999).

    Google Scholar 

  6. Yoshihara, I., Kamimai, Y., Yamamori, K., and Yasunaga, M.: A Multi-modal Neural Network for Identifying Exon-Intron Boundaries, Baba, N., Jain, L.C., and Howlett, R.J. (Eds), Knowledge-based Intelligent Information Engineering Systems and Allied Technologies, IOS Press, Holland, (2001) 998–1002.

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© 2003 Springer-Verlag Berlin Heidelberg

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Yasunaga, M., Yoshihara, I., Kim, J.H. (2003). Gene Finding Using Evolvable Reasoning Hardware. In: Tyrrell, A.M., Haddow, P.C., Torresen, J. (eds) Evolvable Systems: From Biology to Hardware. ICES 2003. Lecture Notes in Computer Science, vol 2606. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36553-2_18

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  • DOI: https://doi.org/10.1007/3-540-36553-2_18

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00730-2

  • Online ISBN: 978-3-540-36553-2

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