<p>The correlation matrix shows a strong positive correlation (+1) or a strong negative correlation (−1) between several sets of parameters indicating that the effect of one parameter can be compensated by a change in the strongly correlated parameter. This points to the same direction as that of the sensitivity analysis, emphasizing the need for more experimental data of intermediate species to uniquely identify the values of the parameters.</p
<p>Correlation analysis of the genera relative abundances with the physicochemical parameters (n = 1...
<p>Values correspond to Pearson's correlation coefficient (R). P<0.05 for all correlations in the ma...
<p>Each row indicates the number of edges, number of parameters, fit error, and inferred parameter v...
<p>The correlation values between the dynamic sensitivities for the all the parameters are shown wit...
<p>Correlation coefficients range between -1 (perfect negative coefficient) and +1 (perfect positive...
<p>Spearman correlation matrix between the functional sensitivity traits and the other factors.</p
Influence curves of some parameters under various methods of factor analysis have been given in the ...
<p>Sensitivity of results to changes in key model parameters showing Spearman rank correlation coeff...
<p>(A) Effect of parameters perturbation on the full model. Bar graph represents Partial Rank Correl...
Sensitivity analysis and comparison of influence of individual parameter estimates on overall fit of...
Bold numbers indicates significant correlations (P < 0.05). Positive correlations are in green and n...
<p>Correlation matrix between the 28 lead SNPs calculated from SNP effects on 32 traits (reordered f...
<p>(A) Correlation matrix of the free parameters for Experiment 1 (left) and Experiment 2 (right). D...
Results for the sensitivity analysis of the “two-species model” for 6000 simulations.</p
<p>The sensitivity is calculated as the highest average derivative of all concentration profiles to ...
<p>Correlation analysis of the genera relative abundances with the physicochemical parameters (n = 1...
<p>Values correspond to Pearson's correlation coefficient (R). P<0.05 for all correlations in the ma...
<p>Each row indicates the number of edges, number of parameters, fit error, and inferred parameter v...
<p>The correlation values between the dynamic sensitivities for the all the parameters are shown wit...
<p>Correlation coefficients range between -1 (perfect negative coefficient) and +1 (perfect positive...
<p>Spearman correlation matrix between the functional sensitivity traits and the other factors.</p
Influence curves of some parameters under various methods of factor analysis have been given in the ...
<p>Sensitivity of results to changes in key model parameters showing Spearman rank correlation coeff...
<p>(A) Effect of parameters perturbation on the full model. Bar graph represents Partial Rank Correl...
Sensitivity analysis and comparison of influence of individual parameter estimates on overall fit of...
Bold numbers indicates significant correlations (P < 0.05). Positive correlations are in green and n...
<p>Correlation matrix between the 28 lead SNPs calculated from SNP effects on 32 traits (reordered f...
<p>(A) Correlation matrix of the free parameters for Experiment 1 (left) and Experiment 2 (right). D...
Results for the sensitivity analysis of the “two-species model” for 6000 simulations.</p
<p>The sensitivity is calculated as the highest average derivative of all concentration profiles to ...
<p>Correlation analysis of the genera relative abundances with the physicochemical parameters (n = 1...
<p>Values correspond to Pearson's correlation coefficient (R). P<0.05 for all correlations in the ma...
<p>Each row indicates the number of edges, number of parameters, fit error, and inferred parameter v...