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Correcting for experiment-specific variability in expression compendia can remove underlying signals
GigaScience ( IF 9.2 ) Pub Date : 2020-11-03 , DOI: 10.1093/gigascience/giaa117
Alexandra J Lee 1, 2 , YoSon Park 2 , Georgia Doing 3 , Deborah A Hogan 3 , Casey S Greene 2, 4
Affiliation  

In the past two decades, scientists in different laboratories have assayed gene expression from millions of samples. These experiments can be combined into compendia and analyzed collectively to extract novel biological patterns. Technical variability, or "batch effects," may result from combining samples collected and processed at different times and in different settings. Such variability may distort our ability to extract true underlying biological patterns. As more integrative analysis methods arise and data collections get bigger, we must determine how technical variability affects our ability to detect desired patterns when many experiments are combined.

中文翻译:

校正表达纲要中实验特定的变异性可以消除潜在的信号

在过去的二十年里,不同实验室的科学家已经从数百万个样本中检测了基因表达。这些实验可以组合成纲要并共同分析以提取新的生物模式。技术可变性或“批次效应”可能是由于将在不同时间和不同环境中收集和处理的样本组合起来造成的。这种可变性可能会扭曲我们提取真实潜在生物模式的能力。随着更多综合分析方法的出现和数据收集变得更大,我们必须确定技术可变性如何影响我们在结合许多实验时检测所需模式的能力。
更新日期:2020-11-03
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