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Figure 4 | BMC Systems Biology

Figure 4

From: Integrating Bayesian variable selection with Modular Response Analysis to infer biochemical network topology

Figure 4

Network reconstruction from incomplete perturbation data. X-axis represents the number of perturbations and Y-axis represents AUROC in panel (a) and AUPR in panel(b). The error-bars indicate the standard deviations of the corresponding AUROCs in panel (a) and AUPRs in panel (b). The results suggest that the networks reconstructed by BVSA is significantly more accurate than both LMML and random guesses even when only half of the MAPK modules were perturbed and no repetitions of the experiments were available.

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BMC Systems Biology

ISSN: 1752-0509

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