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Z-factor
The Z-factor is a measure of statistical effect size. It has been proposed for use in high-throughput screening (where it is also known as Z-prime,〔http://planetorbitrap.com/data/uploads/4fb692e73c07b.pdf〕 and commonly written as Z') to judge whether the response in a particular assay is large enough to warrant further attention.
==Background==
In high-throughput screens, experimenters often compare a large number (hundreds of thousands to tens of millions) of single measurements of unknown samples to positive and negative control samples. The particular choice of experimental conditions and measurements is called an assay. Large screens are expensive in time and resources. Therefore, prior to starting a large screen, smaller test (or pilot) screens are used to assess the quality of an assay, in an attempt to predict if it would be useful in a high-throughput setting. The Z-factor is an attempt to quantify the suitability of a particular assay for use in a full-scale, high-throughput screen.
抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』
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