한국산학기술학회논문지 (Journal of the Korea Academia-Industrial cooperation Society)

  • 제13권9호
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  • Pages.3952-3961
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  • 2012
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  • 1975-4701(pISSN)
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  • 2288-4688(eISSN)
한국산학기술학회 (The Korea Academia-Industrial cooperation Society)
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SOMPS 알고리즘을 이용한 세포주기 조절 유전자 검출

Detecting cell cycle-regulated genes using Self-Organizing Maps with statistical Phase Synchronization (SOMPS) algorithm

  • 강용석 (한국폴리텍대학 자동차학과) ;
  • 배철수 (관동대학교 의료공학과)
  • Kang, Yong-Seok (Department of Vehicle Engineering, Korea Polytechnics) ;
  • Bae, Cheol-Soo (Department of Biomedical Engineering, Kwandong University)
  • 투고 : 2012.08.07
  • 심사 : 2012.09.06
  • 발행 : 2012.09.30
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초록

세포주기조절유전자를 식별하는 계산방법을 개발하는 것은 시스템 생물학의 중요한 주제중 하나이다. 이전 방법의 대부분은 세포주기 조절 유전자를 식별하는 표현신호의 주기적인 특성으로 간주한다. 그러나, 세포주기 조절유전자는 상대적으로 세포 네트워크를 기반으로 서로 활성화된 상대적으로 많은 상호 작용을 일으킨다고 가정한다. 본 연구에서는 세포주기 분석에 변수 위상동기화 이론을 적용하여, "통계적상 동기화를 이용한 자가조직지도 (SOMPS)", 즉, 자가조직지도와 다변수 통계 동기화 방법으로 이루어진 방법을 사용하여 여러 개의 하위집합과의 상호작용을 발생시키고자 한다. 평가방법으로 SOMPS방법 알고리즘이 세포주기조절 유전자를 방법으로 기존에 사용되는 방법들과 같이 유용할 것으로 보인다.

Developing computational methods for identifying cell cycle-regulated genes has been one of important topics in systems biology. Most of previous methods consider the periodic characteristics of expression signals to identify the cell cycle-regulated genes. However, we assume that cell cycle-regulated genes are relatively active having relatively many interactions with each other based on the underlying cellular network. Thus, we are motivated to apply the theory of multivariate phase synchronization to the cell cycle expression analysis. In this study, we apply the method known as "Self-Organizing Maps with statistical Phase Synchronization (SOMPS)", which is the combination of self-organizing map and multivariate phase synchronization, producing several subsets of genes that are expected to have interactions with each other in their subset (Kim, 2008). Our evaluation experiments show that the SOMPS algorithm is able to detect cell cycle-regulated genes as much as one of recently reported method that performs better than most existing methods.

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