基于CGR的DNA序列的时间序列模型(英文)  

Time series model based on Chaos game representation for DNA sequences

作　　者：高洁[1,2] 蒋丽丽[1] 徐振源[1] 

机构地区：[1]江南大学理学院,无锡214122 [2]江南大学信息工程学院,无锡214122

出　　处：《生物信息学》2010年第2期156-160,164,共6页Chinese Journal of Bioinformatics

基　　金：supported by the National Natural Science Grant No.60575038;Jiangnan University Grant No.20070365 and the Program for Innovative Research Team of Jiangnan University~~

摘　　要：利用DNA序列的混沌游戏表示(chaos game representation,CGR),提出了将2维DNA图谱转化成相应的类谱格式的方法。该方法不仅提供了一个较好的视觉表示,而且可将DNA序列转化成一个时间序列。利用CGR坐标将DNA序列转化成CGR弧度序列,并引入长记忆ARFIMA(p,d,q)模型去拟合此类序列,发现此类序列中有显著的长相关性且拟合度很好。We have considered the chaos game representation of DNA sequences and have outlined a procedure which converts the cor- responding 2D DNA maps into ＇ spectrum - like＇ format, which not only offers a better visual representations but also becomes possible a time series. A CGR radians series is proposed based on CGR coordinates for the DNA sequences. A long- memory ARFIMA（p,d, q） model is introduced to simulate the time sreies. Remarkably long - range correlations are uncovered in the data and the model is fitted well.

关 键 词：时间序列模型 混沌游戏表示(CGR) DNA序列 长记忆 ARFIMA(p d q)模型 

分 类 号：Q523.8[生物学—生物化学] O211.61[理学—概率论与数理统计]