Fig. 3
From: Iterative sub-network component analysis enables reconstruction of large scale genetic networks
An incompliant synthetic network and the two iterating sub-networks. a The red outer boundary represents the complete network that does not satisfy the conditions for uniqueness of the solution. The two sub-networks are shaded in green are each compliant, and solved iteratively by the ISNCA, build on GNCA-r, FastNCA and ROBNCA. Note that TF4 is also a gene. b All the ISNCA procedures converged to a stable solution after about 10–15 iterations, with the first and second iterations have the strongest reduction. c Comparison of the mean error of 100 simulations for each ISNCA indicates low error for ISNCA (FastNCA) for small network sizes and d Error distributions of 100 ISNCA simulations, built on the three NCA algorithms. For this small network, mean error of the ISNCA with GNCA-r and FastNCA was significantly lower (p < 10−4, one-way ANOVA) than the ISNCA (ROBNCA)