On the Complexity of Finding Emerging Patterns

  • Authors:
  • Lusheng Wang;Hao Zhao;Guozhu Dong;Jianping Li

  • Affiliations:
  • City University of Hong Kong;City University of Hong Kong;Wright State University;Yunnan University and City University of Hong Kong

  • Venue:
  • COMPSAC '04 Proceedings of the 28th Annual International Computer Software and Applications Conference - Workshops and Fast Abstracts - Volume 02
  • Year:
  • 2004

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Abstract

Emerging patterns have been studied as a useful type of pattern for the diagnosis and understanding of diseases based on the analysis of gene expression profiles. They are useful for capturing interactions among genes (or other biological entities), for capturing signature patterns for disease subtypes, and deriving potential disease treatment plans, etc. In this paper we study the complexity of finding emerging patterns (with the highest frequency). We first show that the problem is MAX SNPhard. This implies that polynomial time approximation schemes do not exist for the problem unless P = NP. We then prove that for any constant 驴