Simulated signal intensities and assigned amino acid-associated weights are recovered by an amino acid composition-based regression model. (A) Simulated signal intensities () obtained by amino acid position-dependent simulation of the binding of 150 antibodies to an array of 255 14-mer peptides were predicted using the regression model given by Equation 1. This regression model takes into account only the amino acid composition of the simulated peptide sequences. Predictive performance: Q2 = 0.40. Simulated signal intensities were computed using Equation 2. (B) Equation 1 was used to estimate (), which are shown against the assigned AAWS () used to generate the simulated signal intensities . Coefficient of correlation: r = 0.92.
Greiff et al. BMC Genomics 2012 13:79 doi:10.1186/1471-2164-13-79