Table 1. Complexity and number of biological statements obtained for the two genetic interaction networks for various interaction classifications.

Classification Scheme	Invasion		MMS-Growth
	Ψ	Statements	Ψ	Statements
Drees, et al. [5]	0.57	68	0.27	41
Segré, et al. [13]	0.52	60	0.32	23
St Onge, et al. [6] *	-	-	0.16	9
Maximal Ψ	0.79	93	0.62	43

*: Subclassification of alleviating interactions could not be performed for the invasion network since this scheme does not have rules to classify every inequality in the invasion data.

The first three classification schemes are from the publications cited. Optimized classifications were determined from unsupervised maximization of complexity Ψ, which has a theoretical maximum of 1. The optimized classification scheme for the invasion data was the greatest found via sampling, whereas the optimal MMS-growth network is the network of absolute maximum complexity, found by exhaustive calculation.