Logic-Statistic Models with Constraints for Biological Sequence Analysis

  • Authors:
  • Christian Theil Have

  • Affiliations:
  • Research Group PLIS: Programming, Logic and Intelligent Systems Department of Communication, Business and Information Technologies, Roskilde University, Roskilde, Denmark DK-4000

  • Venue:
  • ICLP '09 Proceedings of the 25th International Conference on Logic Programming
  • Year:
  • 2009

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Abstract

This project aims to investigate biologically inspired, logic-statistic models with constraints. The complexity and expressiveness of models with different kinds of constraints will be examined and algorithms to efficiently cope with inference in and training of such models will be explored. The models will be evaluated with regards to their applicability to biological sequence analysis.