Katagiri Fumiaki, Glazebrook Jane
University of Minnesota, St. Paul, Minnesota, USA.
Curr Protoc Mol Biol. 2004 Sep;Chapter 22:Unit 22.4. doi: 10.1002/0471142727.mb2204s67.
Microarray technology allows simultaneous measurement of the mRNA levels of thousands of genes. This powerful technology has applications in addressing many biological questions that were not approachable previously; however, the enormous size of microarray data sets leads to issues of experimental design and statistical analysis that are unfamiliar to many molecular biologists. The type of array used, design of the biological experiment, number of experimental replicates, and statistical method for data analysis should all be chosen based on the scientific goals of the investigator. This overview presents a discussion of the relative merits and limitations of various methods with respect to some common applications of microarray experiments.
微阵列技术能够同时测量数千个基因的mRNA水平。这项强大的技术在解决许多以前无法解决的生物学问题方面具有应用价值;然而,微阵列数据集的巨大规模导致了许多分子生物学家不熟悉的实验设计和统计分析问题。所使用的阵列类型、生物学实验设计、实验重复次数以及数据分析的统计方法都应根据研究者的科学目标来选择。本综述讨论了各种方法在微阵列实验一些常见应用方面的相对优点和局限性。