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Fig. 2 | BMC Systems Biology

Fig. 2

From: Clustering reveals limits of parameter identifiability in multi-parameter models of biochemical dynamics

Fig. 2

a Agglomerative hierarchical clustering of model parameters. b Verification of the δ-condition. Recursively, at each level, a pair of most similar clusters is merged into a single cluster and δ-condition is verified. Linkages between clusters, at each stage of clustering, are plotted at high $\frac {1}{m}{\sum \nolimits }_{i=1}^{m}(1-\rho ^{2})$ , where m is the size of a new cluster, compared to a previous linkage. Identifiability results from violation of either of the δ-condition or ζ-condition therefore even parameters that have sensitivities above a threshold can be non-identifiable. Non-identifiable parameters are marked red

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