Integrating genetic and gene expression data in network-based stratification analysis of cancers

BMC Bioinformatics

Table 2 Integrated bladder subtypes hybrid scores

Rank	Gene	Subtype	Gene	Subtype	Gene	Subtype	Gene	Subtype
1	ABCC1	0.155	ABCC1	0.157	LEPR	0.09	LTB4R	0.087
2	CCNH	0.105	IL1RAP	0.095	ABCC1	0.077	ABCC1	0.079
3	IL1RAP	0.069	LEPR	0.076	LTB4R	0.067	IL1RAP	0.06
4	AFAP1L2	0.055	CCNH	0.075	IL1RAP	0.06	AFAP1L2	0.049
5	IBSP	0.054	LTB4R	0.066	KLK3	0.057	KLK3	0.044
6	PICALM	0.048	AFAP1L2	0.059	KIR2DS5	0.054	LEPR	0.043
7	THBS3	0.045	PICALM	0.05	ACAD8	0.05	NFE2L2	0.041
8	TICAM2	0.045	HLA-E	0.047	HLA-E	0.046	RBM15	0.038
9	LTB4R	0.045	KIR2DS5	0.046	SF3B1	0.045	PICALM	0.038
10	LEPR	0.042	CXCL1	0.046	NTHL1	0.042	ACAD8	0.036

The genes with the highest mean hybrid score across the networks of the patients in bladder cancer subtypes using integrated profiles. ABCC1, LEPR, LTB4R, and IL1RAP are relevant high-scoring genes across all 4 subtypes

ISSN: 1471-2105