A comparison of graph- and kernel-based –omics data integration algorithms for classifying complex traits

BMC Bioinformatics

Table 1 Data sets used for evaluating the data integration algorithms

Data Set	Sample Size	Data Source	Platform	Numbers of Features
GAW 19	617	Genotypes	lllumina Infinium Beadchips	440,762
		Gene Expression	lllumina Sentrix Human-6 Expression BeadChips	20,634
		Clinical Covariates	Clinical Data	2
Ovarian	135	Gene Expression	Agilent G4502A	17,814
		miRNA Expression	Agilent Human miRNA 8x15K	799
		Protein Expression	Reverse phase protein array	176
		Methylation	HumanMethylation 27	24,981
Breast	453	RNA SeqV2	Illumina HiSeq	20,531
		miRNA Expression	Agilent Human miRNA 8x15K	1046
		Protein Expression	Reverse phase protein array	166
		Methylation	HumanMethylation 450	396,065

ISSN: 1471-2105