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Figure 2 | Algorithms for Molecular Biology

Figure 2

From: A novel method for identifying disease associated protein complexes based on functional similarity protein complex networks

Figure 2

Performance comparison between network-based ranking algorithms on different functional similarity protein complex networks. (a) SharedProteinComNet. (b) SharedGOTermComNet. (c) SharedPPIComNet. For RWR and PRINCE, back-probability and trade-off parameters were varied in a range of [0.1, 0.9], respectively. Vertical axis represents average AUC values over 270 disease phenotypes.

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Algorithms for Molecular Biology

ISSN: 1748-7188