随着微阵列数据的快速增长, 微阵列基因表达数据日益成为生物信息学研究的重要数据源。利用微阵列基因表达数据构建基因调控网络也成为一个研究热点。通过构建基因调控网络, 可以解读复杂的调控关系, 发现细胞内的调控模式, 并进而在系统尺度上理解生物学进程。近年来, 人们引入了多种算法来利用基因芯片数据构建基因调控网络。文章回顾了这些算法的发展历史, 尤其是其在理论和方法上的改进, 给出了一些相关的软件平台, 并预测了该领域可能的发展趋势。

With the rapid deposition of the microarray data in recent years, microarray data has increasingly become an important data source for bioinformatics research. Based on microarray date, constructing gene regulatory networks has also become a hotspot. By constructing the gene regulatory network, we can identify the complicated regulatory relationships, uncover the regulatory patterns in the cell, and gain the systematic view for biological process. Recently, many algorithms have also been introduced in this field to determine gene regulatory networks based on such high-throughput microarray data. In this paper, we review the development of these algorithms, with a particular emphasis on their improvement of theory and method. At last, we present the available software and platform and discuss the development trends in this field.