Regression Analysis for Constraining Free Parameters in Electrophysiological Models of Cardiac Cells
Figure 3
Predictions of the linear empirical model generated by reverse regression.
(A) Scatter plots are displayed for four input conductances: GNa (top left), GCa (top right), Gto (bottom left) and KNCX (bottom right). Each plot shows the value actually used in the simulations (abscissa) versus the estimate generated by the regression model (ordinate). The regression was performed on a simulated data set containing 300 samples. (B) R2 values for each conductance in the TNNP model in the reverse regression. The three cases shown correspond to regression performed with: all 32 outputs (blue); the sixteen “best” outputs (green), and the 16 rejected outputs (red).