A categorical network approach for discovering differentially expressed regulations in cancer

BMC Medical Genomics

Table 2 Gene expression data sets used in the study

Name	GEO Ref	Platform	Disease Condition	Class Criteria	Samples by Class	Reference
BRS1	GSE1456	GPL96	Breast	survival status	119+40	[25]
BRS2	GSE3494	GPL96	Cancer		181+55	[26]
BER1	GSE2990	GPL96	Breast	ER status	34+149	[27]
BER2	GSE7390	GPL96	Cancer	neg. vs. pos.	64+134	[28]
BER3	GSE20711	GPL570			45+42	[29]
BER4	GSE2034	GPL96			77+209	[30]
LNG1	GSE10245	GPL570	Lung	adenocarcen.	18+40	[31]
LNG2	GSE18842	GPL570	Cancer	vs.	32+14	[32]
LNG3	GSE31799	GPL14189		squamous cell	20+29	[33]
GST1	GSE33335	GPL5175	Gastric	tumor	25+25	[34]
GST2	GSE27342	GPL5175	Cancer	vs. normal	80+80	[35]
GST3	GSE37023	GPL96			112+39	[36]
KDN1	GSE15641	GPL96	Clear Cell	disease	32+23	[37]
KDN2	GSE17818	GPL9101	Renal Cancer	vs. control	102+13	[38]
KDN3	GSE22316	GPL10175			70+13	[39]

ISSN: 1755-8794