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 R^{2 }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) R^{2} from polynomial regression symmetrized by Eq. 5 versus A^{MI,UniversalVersion2}. The red line predicts A^{MI,UniversalVersion2 }from R^{2}. (C-D) Same plots for spline regression models. Format: PDF Size: 558KB Download file This file can be viewed with: Adobe Acrobat Reader Song et al. BMC Bioinformatics 2012 13:328 doi:10.1186/1471-2105-13-328 |