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. 2011 May 13;39(15):6340–6358. doi: 10.1093/nar/gkr264

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© The Author(s) 2011. Published by Oxford University Press.

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Figure 5. — Impact of regulon size on sensitivity. (A) Gene–gene cliques generated by specific (GAL4, MET4) and global (GCN4, ZAP1) TFs. Correctly predicted co-regulations (true positives) are highlighted in green, with edge thickness proportional to the DPbits score. Orange edges indicate false negatives (FN), i.e. existing co-regulations missing from the predicted co-regulation network. Edge-wise sensitivity (E_sn) is the fraction of correctly predicted edges. Node-wise sensitivity (N_sn) is the fraction of target genes linked by at least one prediction. (B, C) Impact of regulon size (abscissa) on edge-wise (b) and gene-wise (c) sensitivity, respectively. All numerical values are provided in Table 4.