Correlation matrices for the parameters' estimates obtained by DE from noisy data (s = 20%) in a Monte Carlo-based approach. Colored matrix cells visualize the correlation R for parameter pairs based on a scale-to-color mapping. The cells on the main diagonal represent the self-correlations of the parameters (they are equal to 1). The most correlated pairs of parameters per observations scenarios are: a) R(c6, c16) = 0.99997, R(c1, c5) = 0.99997, R(c7, c18) = 0.9862, R(c7, c9) = 0.9093, R(c8, c9) = -0.8749, R(c9, c18) = 0.8568, R(c2, c13) = 0.8413 in the case of CO; b) R(c8, c9) = -0.9097 and R(c9, c18) = -0.7789 in the case of AO; and c) R(c6, c16) = 0.9980, R(c1, c5) = 0.9934, R(c7, c18) = 0.9901, R(r5(0), R5(0) = -0.8509, R(c2, c13) = 0.8343, and R(c8, c9) = -0.8105 in the case of TO. Smallest values for R are obtained for the following pairs of parameters: a) R(c1, c18) = -0.00196 in the case of CO; b) R(c3, c5) = 0.000032 in the case of AO; and c) R(c4, c6) = -0.0011 in the case of TO.
Tashkova et al. BMC Systems Biology 2011 5:159 doi:10.1186/1752-0509-5-159