< Back to Article

Inference of Gene Regulatory Networks with Sparse Structural Equation Models Exploiting Genetic Perturbations

Figure 2

Performance of SML, AL and QDG algorithms for directed acyclic networks of [(a) and (b)] or 30 [(c) and (d)] genes.

Expected number of nodes per node is . PD and FDR were obtained from 100 replicates of the network with different sample sizes ( to 1,000).

doi: https://doi.org/10.1371/journal.pcbi.1003068.g002