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Applying object logic programming to design computer strategies in gene scanning

  • 4 Applied Artificial Intelligence and Knowledge-Based Systems in Specific Domains
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Tasks and Methods in Applied Artificial Intelligence (IEA/AIE 1998)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1416))

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Abstract

The Cardiovascular Diseases (CVD) have a multifactorial origin. They are caused by mixed effects of some gene and environmental factors. Therefore, gene identification strategies needed to discover involved gene regions are more complex than strategies applied on monogenic diseases. Nowadays, the first ones lack satisfactory levels of performance and efficiency.

We present a “in progress” work with the aim to design computational strategies to perform gene screenings to identify new genomic regions associated to atherogenic CVD process. In this work we apply formal methodology and techniques related to logic programming, object-oriented development architectures and combinatorial aspects of genetic model. We have implemented an alpha version of the system which has the main functions designed. And we are actually designing a complete set of data test based on the Framingham Heart Study to compare with classical linkage tools.

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Author information

Authors and Affiliations

  1. System Integration and Re-Engineering Research Group (SIRE) Computer Science Department, Jaume I University, Campus de Penyeta Roja, s/n, 12071, Castellón, Spain

    Óscar Coltell

  2. Jean Mayer USDA-Human Nutrition Research Centre, Tufts University, 711, Washington Street, Boston, Massachusetts, USA

    José Ma. Ordovás

Authors
  1. Óscar Coltell
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  2. José Ma. Ordovás
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Angel Pasqual del Pobil José Mira Moonis Ali

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© 1998 Springer-Verlag Berlin Heidelberg

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Coltell, Ó., Ordovás, J.M. (1998). Applying object logic programming to design computer strategies in gene scanning. In: Pasqual del Pobil, A., Mira, J., Ali, M. (eds) Tasks and Methods in Applied Artificial Intelligence. IEA/AIE 1998. Lecture Notes in Computer Science, vol 1416. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-64574-8_448

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  • DOI: https://doi.org/10.1007/3-540-64574-8_448

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64574-0

  • Online ISBN: 978-3-540-69350-5

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