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Pearson Correlation Coefficient

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Encyclopedia of Systems Biology

Synonyms

Linear correlation coefficient; Pearson’s product-moment coefficient

Definition

Pearson correlation coefficient (PCC) is the one of the most popular coefficients to measure the dependence of two variables. Given two random variables \( X \) and \( Y \), PCC is defined as the normalization form of their covariance:

$$ PCC\left( {X,Y} \right) = \frac{{{\rm cov} (X,Y)}}{{{\sigma_X}{\sigma_Y}}} = \frac{{E\left[ {\left( {X - \bar{X}} \right)\left( {Y - \bar{Y}} \right)} \right]}}{{{\sigma_X}{\sigma_Y}}} $$

where \( \bar{X} \) and \( \bar{Y} \) are the average values of \( X \) and \( Y \), respectively; \( {\sigma_X} \) and \( {\sigma_Y} \) are the standard deviations.

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Correspondence to Jiguang Wang .

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Wang, J. (2013). Pearson Correlation Coefficient. In: Dubitzky, W., Wolkenhauer, O., Cho, KH., Yokota, H. (eds) Encyclopedia of Systems Biology. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-9863-7_372

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