基于Bootstrap方法的基因表达谱数据互信息估计研究  

Mutual Information Estimation Research of Gene Expression Data Based on Bootstrap Method

作　　者：徐宏强[1] 王新伟[1] 李园园[2] 罗若愚[2] 

机构地区：[1]华东师范大学计算机科学技术系,上海200063 [2]上海生物信息技术研究中心,上海200235

出　　处：《生物信息学》2009年第1期52-54,共3页Chinese Journal of Bioinformatics

基　　金：国家自然科学基金(30700164)

摘　　要：基因调控网络模型为深入理解生命本质提供了一个新的研究框架和平台。作为基因调控网络模型的其中一种,互信息关联网络模型使用熵和互信息描述基因和基因之间的关联。本文描述了用互信息度量基因表达相似性的方法,提出基于Bootstrap的互信息估计算法,并对产生的偏离现象提出了改进策略。实验结果表明,改进的互信息估计方法可以有效提高基因表达相似性估计的精确度。Genetic regulation network models provide a new research framework and platform for understanding the nature of life. As one of these models, mutual information relevance network model uses entropy and mutual information to describe the association of genes. This paper described the method to measure gene similarity in terms of expression profile using mutual information, presented a new method of mutual information estimation based on Bootstrap, which compensates for insufficient repeat samples. Furthermore, we analyzed the mechanism of the bias and brought up the strategy to reduce the bias. Our results indicated that the improved mutual information estimation method effectively raised the estimated accuracy.

关 键 词：基因表达谱数据 互信息 BOOTSTRAP 生物信息学 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]