Table 2. Summary Table.

Data Set	Data Types Analyzed	HIHI	HILO	LOLO	LOHI
GBM	{Copy Number Alteration, Expression}	202385	178195	52592	15777
	{DNA methylation, Expression}	2875172	1008334	2671091	266135
	{Mutation, Broad CNAs}	170	54	0	0
	{Mutation, DNA methylation}	1057	238	8	0
OV	{Copy Number Alteration, Expression}	271472	823660	8544	1471
	{DNA methylation, Expression}	70498	116200	93543	35934
	{Mutation, Broad CNAs}	75	5	0	0
	{Mutation, DNA methylation}	319	670	33	60

Number of different Boolean implications between variables of different data types in the TCGA GBM and OV data sets. The different data types considered were mutation, copy number, DNA methylation and gene expression. Since chromosomes tended to be altered in large blocks, the copy number data were also organized by chromosomal segments. GISTIC2.0 [36] identifies focal peaks of amplification or deletion as well as broad regions of alteration. The segments derived by GISTIC2.0 are referred to as broad CNAs.