Browse Subject Areas

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

< Back to Article

How Difficult Is Inference of Mammalian Causal Gene Regulatory Networks?

Figure 3

Evaluation of sensitivity (true positive rate) and specificity (1-false positive rate) of edge discovery by GENIE3 (A–C) and ARANCE (D–F) using the tooth and heart microarray datasets.

To account for the possibility that our literature-curated RTP may represent indirect regulatory interactions, we allow matching of a RTP with a linear path of multiple edges (x-axis). The bar chart above each plot shows the size of the network. Dotted lines shows control background of 1,000 node-label-permuted randomised networks.

Figure 3