Skip to main content
Figure 2 | BMC Bioinformatics

Figure 2

From: A high-accuracy consensus map of yeast protein complexes reveals modular nature of gene essentiality

Figure 2

Performance curves of the probabilistic scoring method. We measured the performance of the various datasets against a reference set consisting of a matrix-model interaction set generated from MIPS curated complexes, excluding the large and small ribosomal subunits (which would otherwise account for over half of the interactions in this set). Single points represent an entire dataset. Curves represent a dataset that has been scored using the hypergeometric scoring algorithm, rank ordered, and plotted with each symbol representing the cumulative addition of the 500 next highest scoring interactions (i.e. tail of the curve represents the entire dataset). The scoring scheme outperforms the raw data as well as the filtered, published sets in all cases; the integrated PICO net outperforms the individual scored data sets, and the derived complexes are slightly more accurate than PICO (for all thresholds; data not shown).

Back to article page