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Fig. 5 | BMC Bioinformatics

Fig. 5

From: An iteration method for identifying yeast essential proteins from heterogeneous network

Fig. 5

PR curves of RWHN and ten other existing centrality methods. The proteins ranked in top K (cut-off value) by each method (RWHN, DC, IC, SC, BC, CC, NC, PeC, CoEWC, POEM and ION) are selected as candidate essential proteins (positive data set) and the remaining proteins in PPI network are regarded as candidate nonessential proteins (negative data set). With different values of K selected, the values of precision and recall are computed for each method. The values of precision and recall are plotted in PR curves with different cut-off values. a shows the PR curves of RWHN, DC, IC, SC, BC, CC and NC. b shows the PR curves of RWHN and other four methods: CoEWC, PeC, POEM and ION

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