Figure 3.

The statistical distributions of all correlations and their subsets. A, B, The distribution of all correlations and their approximations with the normal distribution (A) and the beta distribution (B). Both theoretical distributions have the sample mean and variance. C, The distribution of the correlations between receptors that represent the same neurotransmitter (in different pairs, the neurotransmitters may be different). D, The distribution of the correlations between receptors that represent different neurotransmitters. E, The distribution of the correlations between receptors that have the same G protein-coupling (in different pairs, the couplings may be different). F, The distribution of the correlations between receptors that have different G protein-couplings. G, The distribution of the correlations of a simulated sample of 100 sets, each of which contains 169 independent, normally distributed numbers (with mean = 0 and standard deviation = 1). The simulation shows that the distribution of the correlations between G protein-coupled receptors is different from what would be expected from a matching sample of uncorrelated sets.

Janušonis BMC Neuroscience 2014 15:16   doi:10.1186/1471-2202-15-16
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