CAJ | 학술논문

差异分析对于揭示生命体的生长、发育和衰老过程及疾病发生具有重大的意义，基于网络的差异分析方法已经成为系统生物学的一个研究热点．Przulj 提出的图元及图元向量作为一描述网络局部结构信息的方法，已经在网络分析方法面取得了很多重要的结果．本文在图元向量的基础上提出了二种节点变化的差距度量方法，通过聚类可以分别挖掘网络中模块内变化基因簇和模块间变化基因簇．应用 AGEMAP 数据库中12个小鼠组织基因表达数据的结果表明：大部分聚类簇都高度显著富集与衰老相关的 GO 条目．
차이분석대우게시생명체적생장、발육화쇠로과정급질병발생구유중대적의의，기우망락적차이분석방법이경성위계통생물학적일개연구열점．Przulj 제출적도원급도원향량작위일묘술망락국부결구신식적방법，이경재망락분석방법면취득료흔다중요적결과．본문재도원향량적기출상제출료이충절점변화적차거도량방법，통과취류가이분별알굴망락중모괴내변화기인족화모괴간변화기인족．응용 AGEMAP 수거고중12개소서조직기인표체수거적결과표명：대부분취류족도고도현저부집여쇠로상관적 GO 조목．
Differential analysis is a major method to understand the process of biological evolution and the progress of dis-eases.Recently,differential analysis based on graph has been a hot area in system biology.Since Przulj proposed the conception of graphlet and graphlet orbits,both of them have been used in various network analyses.In this paper,we proposed two measures based on graphlet orbits,and we used them to mine within module differential co-expresssion clusters and module to module differ-ential co-expression clusters.Applications on the data of mice for 16 months and 24 months have shown that most of the clusters are significant enrichment in some GO terms related with aging.