The effects of incomplete protein interaction data on structural and evolutionary inferences.
Eric de Silva, Thomas Thorne, Piers Ingram, Ino Agrafioti, Jonathan Swire, Carsten Wiuf, Michael PH Stumpf
BMC Biology | Published : 2006
BACKGROUND: Present protein interaction network data sets include only interactions among subsets of the proteins in an organism. Previously this has been ignored, but in principle any global network analysis that only looks at partial data may be biased. Here we demonstrate the need to consider network sampling properties explicitly and from the outset in any analysis. RESULTS: Here we study how properties of the yeast protein interaction network are affected by random and non-random sampling schemes using a range of different network statistics. Effects are shown to be independent of the inherent noise in protein interaction data. The effects of the incomplete nature of network data become..View full abstract