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Statistical Analysis Tool for Outlier Detection in Biological Datasets

Utilize a comprehensive tool to detect outliers in biological data based on standard deviation calculations and precise mathematical formulas. Identify anomalies efficiently for accurate data interpretation.

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Statistical Analysis Tool for Outlier Detection in Biological Datasets

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  1. Note: All the Ki values stored in Ki database and used to calculate this graph are expressed in nM

  2. Outliers are defined as any value that is more than 2 standard deviations greater than or less than the mean. • The following formula is used to calculate the standard deviation. n is the number of values used to calculate the mean and x is an individual value. n S x2 – (Sx)2 n (n-1)

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