Statistical design and the analysis of gene expression microarray data.
Statistical design and the analysis of gene expression microarray data.
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基因表达微阵列数据的统计设计和分析。
DOI：
10.1017/s0016672301005055
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发表时间：
2001
期刊：
影响因子：
--
通讯作者：
Churchill,GA
中科院分区：
文献类型：
--
作者：
Kerr,MK;Churchill,GA
基因表达微阵列是一项创新技术，具有巨大的潜力，可以帮助遗传学家探索和理解基因组。虽然这项技术的潜力已经得到了明确的证明，但许多重要和有趣的统计问题仍然存在。我们将微阵列的某些特征与其他类型的实验数据联系起来，并认为经典的统计技术是适当和有用的。我们主张更多地关注实验设计问题，并在微阵列研究中发挥更突出的作用。
Gene expression microarrays are an innovative technology with enormous promise to help geneticists explore and understand the genome. Although the potential of this technology has been clearly demonstrated, many important and interesting statistical questions persist. We relate certain features of microarrays to other kinds of experimental data and argue that classical statistical techniques are appropriate and useful. We advocate greater attention to experimental design issues and a more prominent role for the ideas of statistical inference in microarray studies.