Table 1.

Key features of the datasets used.

Omic count	Omic type	Omic data	Feature size	Sample size (${}^1$)	Feature & Data values (unit)	Source
mono-omics	Genomics (G)	CNV	24,776	481	Gene name & Gistic2 copy number	41
	Transcriptomics (T)	mRNA	12,043	481	Gene name & log2(affy RMA)	40
		RNAseq	20,530	292	Gene name & pan-cancer normalized log2(norm_count+1)	42
	Epigenomics (E)	DNA methylation	27,579 / 21,675	481/886	CPG probe identifier or CG number & Beta value	43,44
Di-omics	G + T	CNV + mRNA	36,819	481	A combination of the respective mono-omics values	${}^2$
		CNV+ RNAseq	45,306	292
	E + T	DNA methylation + mRNA	39,622	481
		DNA methylation + RNAseq	48,109	292
	G + E	CNV+ DNA methylation	52,355	481
Tri-omics	G + E + T	CNV+ DNA methylation + mRNA	64,398	481
		CNV+ DNA methylation + RNAseq	72,885	292

${}^1$Sample size after intersection.

${}^2$Generated through the concatenation of respective mono-omics datasets.