Quantifying colocalization by correlation: The Pearson correlation coefficient is superior to the Mander's overlap coefficient
Stockholm University · Wenner-Gren Foundations
Abstract
The Pearson correlation coefficient (PCC) and the Mander's overlap coefficient (MOC) are used to quantify the degree of colocalization between fluorophores. The MOC was introduced to overcome perceived problems with the PCC. The two coefficients are mathematically similar, differing in the use of either the absolute intensities (MOC) or of the deviation from the mean (PCC). A range of correlated datasets, which extend to the limits of the PCC, only evoked a limited response from the MOC. The PCC is unaffected by changes to the offset while the MOC increases when the offset is positive. Both coefficients are independent of gain. The MOC is a confusing hybrid measurement, that combines correlation with a heavily…
Citation impact
- FWCI
- 28.39
- Percentile
- 100%
- References
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Authors
2Topics & keywords
- Pearson product-moment correlation coefficient
- Correlation coefficient
- Statistics
- Correlation
- Colocalization
- Uncorrelated
- Offset (computer science)
- Population