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Z-Factor: Effect Size, High-Throughput Screening, Expected Value, Standard Deviation, Arithmetic Mean, Normal Distribution, Statistical Population, Statistical Power - Softcover
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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. The Z-factor is a measure of statistical effect size. It has been proposed for use in high-throughput screening to judge whether the response in a particular assay is large enough to warrant further attention. 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.
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- PublisherBetascript Publishing
- Publication date2010
- ISBN 10 6130335504
- ISBN 13 9786130335502
- BindingTapa blanda
- LanguageEnglish
- Number of pages88
- EditorSurhone Lambert M., Timpledon Miriam T., Marseken Susan F.
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