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COMPSAC
2004
IEEE

On the Complexity of Finding Emerging Patterns

14 years 2 months ago
On the Complexity of Finding Emerging Patterns
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 SNP-hard. This implies that polynomial time approximation schemes do not exist for the problem unless P=NP. We then prove that for any constant < 1, the emerging pattern problem cannot be approximated within ratio 2log n in polynomial time unless NP DTIME[2polylog n], where n is the number of positions in a pattern.
Lusheng Wang, Hao Zhao, Guozhu Dong, Jianping Li
Added 20 Aug 2010
Updated 20 Aug 2010
Type Conference
Year 2004
Where COMPSAC
Authors Lusheng Wang, Hao Zhao, Guozhu Dong, Jianping Li
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