Figure 1

Generation of MCL-GO complex datasets. (a) For IntAct data, rendering TAP-MS data using the spoke model rather than the matrix model gave improved performance. (b) Combining IntAct and MINT datasets and weighting interactions with GOSS scores gives greater accuracy over either resource alone and without weighting. (c) Accuracy of MCL-GO complexes (using MINT+IntAct and edge weighting) in capturing MIPS yeast complexes and EcoCyc E. coli complexes. 'Random' lines show mean accuracy achieved over 10000 sets of randomised clusters. Error bars show one standard deviation either side of the mean. (d) Size distribution of E. coli and yeast MCL-GO complexes.