CAJ | 학술논문

目的:探讨基因时间序列信号的多尺度关联规则.方法:将基因时间序列信号进行小波多尺度分解,在单一尺度上建立隶属关系,然后挖掘其总体关联网络.结果:应用新的多尺度关联规则,对小脑组织的一组基因芯片时间序列信号进行分析,其结果与生物学意义接近.结论:此多尺度关联规则,是调控网络建立的一种全新有效方法.
목적:탐토기인시간서렬신호적다척도관련규칙.방법:장기인시간서렬신호진행소파다척도분해,재단일척도상건립대속관계,연후알굴기총체관련망락.결과:응용신적다척도관련규칙,대소뇌조직적일조기인심편시간서렬신호진행분석,기결과여생물학의의접근.결론:차다척도관련규칙,시조공망락건립적일충전신유효방법.
Objective: In order to establish new classification method on huge data of time series of gene expression. Methods Muhiscale method was applied in FCM clustering algorithm and clustering results in different scale were got. Results: The new method was applied in gene expression of brain. The classification results comparison found that majority of genes in various types have close biological significance. Conclusion: It is effective to gene clustering where use an improved FCM algorithm, It can give guidance in biology gene clustering and explaining gene function.