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

Figure 5

Performance of the SML algorithms for DAGs [(a) and (b)] or DCGs [(c) and (d)] of genes with an expected number of nodes per node and error variance .

PD and FDR were obtained from 100 replicates of the network with different sample sizes ( to 1,000).

Figure 5

doi: https://doi.org/10.1371/journal.pcbi.1003068.g005