Applying the matrix-model scoring algorithm. The four subunits of the DNA primase core complex are detected using the scoring algorithm. (A) In the Gavin et al. TAP-MS data set, Pol1 and Pol12 were purified as bait and their corresponding bait-prey, spoke model interactions are shown in blue (plus number of additional prey identified shown in parentheses). In the Krogan et al. assay (shown in orange), the same baits plus Pri1 were purified. (B) In the matrix model, both bait-prey and prey-prey interactions are considered. Within a given dataset, the total number of links observed between each pair of proteins is recorded and the P-value calculated as described in the text. The PICO network was generated by multiplying P-values for the same interaction derived from different data sets, e.g. Pol1–Pol12 is discovered in both Gavin and Krogan and scored accordingly. (C) The PICO network integrates probability scores from all data sources, here represented as -ln(P-value). Values in black are final PICO scores; separate scores from Gavin et al. (blue) and Krogan et al. (orange) are shown where applicable. No data from Ho et al. was relevant to this example.
Hart et al. BMC Bioinformatics 2007 8:236 doi:10.1186/1471-2105-8-236