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EXPERIMENTAL DESIGN FOR GENE MICRO ARRAY EXPERIMENTS AND DIFFERENTIAL EXPRESSION ANALYSIS

机译:基因微阵测实验和差异表达分析的实验设计

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Advances in microarray technology open new challenges in data collection, analysis and interpretation. In this review paper, we focus on issues related to obtaining trustworthy normalized data and results of differential expression analysis. In particular, we briefly summarize discussions on sources of biological and technological variation, experimental design, design of arrays, normalization and error models, differential expression and multiple comparison issues. These issues remain major bottlenecks to developing standards and obtaining useful and applicable results of future analysis such as cluster analysis, network modeling, etc.
机译:微阵列技术进步在数据收集,分析和解释中开辟了新的挑战。在本篇文章纸质中,我们专注于与获得可信赖的标准化数据和差异表达分析结果相关的问题。特别是,我们简要概述了关于生物学和技术变化的来源,实验设计,阵列设计,归一化和误差模型,差异表达和多个比较问题的讨论。这些问题仍然是开发标准的主要瓶颈,并获得未来分析的有用和适用的结果,例如集群分析,网络建模等。

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