Performance metrics and predicted ratios were further described through linear models built upon the different combination of variables considered in this analysis. Our prior work in similar scopes had found them insightful, since they allow for a statistical analysis of the contribution of each factor under study. Each of the data points used for fitting a explanatory linear model corresponded to a different protein. Simpler claims were investigated with Pearson's r for linear correlation, using confidence intervals (CI) and p-values for significance.