Yamada Rikuhiro, Ueda Hiroki R
Laboratory for Systems Biology, Center for Developmental Biology, RIKEN, Kobe, Hyogo, Japan.
Methods Mol Biol. 2007;362:245-64. doi: 10.1007/978-1-59745-257-1_17.
Microarrays are promising tools that are increasingly being applied to the study of circadian rhythms. The large and complex datasets they generate, however, mean they require a new approach on how to design experiments, handle datasets, translate results, and derive conclusions. This technology also requires statistical methods for the correct interpretation of data generated by the microarrays. In this chapter, we provide an overview of analytical methods applied to microarray experiments for the identification of genes with circadian expression.
微阵列是很有前景的工具，越来越多地应用于昼夜节律的研究。然而，它们生成的庞大而复杂的数据集意味着在如何设计实验、处理数据集、转化结果以及得出结论方面需要新的方法。这项技术还需要统计方法来正确解读微阵列生成的数据。在本章中，我们概述了应用于微阵列实验以鉴定具有昼夜节律表达基因的分析方法。
