Additional file 4.
Compare polynomial and spline regression models to correlation or mutual information based co-expression measures in simulation. Each point corresponds to a pair of numeric vectors x and y with length m = 1000. Data is simulated as in Figure 1. (A) Square root of R2 from polynomial regression symmetrized by Eq. 5 versus absolute Pearson correlation values. The two measures are indistinguishable since the data is simulated to exhibit linear relationships. (B) R2 from polynomial regression symmetrized by Eq. 5 versus AMI,UniversalVersion2. The red line predicts AMI,UniversalVersion2 from R2. (C-D) Same plots for spline regression models.
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Song et al. BMC Bioinformatics 2012 13:328 doi:10.1186/1471-2105-13-328