Comparative evaluation of set-level techniques in predictive classification of gene expression samples

BMC Bioinformatics

Table 8 Datasets

Dataset	Genes	Class 1	Class 2	Source	Reference
Adenocarcinoma	14023	8	29	GDS2201	[31]
ALL/AML	10056	24	24	Broad institute	[32]
Brain/muscle	13380	41	20	-	[4]
Breast tumors	14023	16	27	GDS1329	[33]
Clear cell sarcoma	14023	18	14	GDS1282	[34]
Colitis and Crohn 1	14902	42	26	GDS1615	[35]
Colitis and Crohn 2	14902	42	59	GDS1615	[35]
Colitis and Crohn 3	14902	26	59	GDS1615	[35]
Diabetes	13380	17	17	Broad institute	[5]
Heme/stroma	13380	18	33	-	[4]
Gastric cancer	5664	8	22	GDS1210	[36]
Gender	15056	15	17	Broad institute	[1]
Gliomas	14902	26	59	GDS1975	[37]
Gliomas 2	31835	23	81	GDS1962	[38]
Lung cancer Boston	5217	31	31	Broad institute	[39]
Lung cancer Michigan	5217	24	62	Broad institute	[40]
Lung cancer - smokers	14023	90	97	GDS2771	[41]
Melanoma	14902	18	45	GDS1375	[42]
p53	10101	33	17	Broad institute	[1]
Parkinson 1	14902	22	33	GDS2519	[43]
Parkinson 2	14902	22	50	GDS2519	[43]
Parkinson 3	14902	33	50	GDS2519	[43]
Pheochromocytoma	14023	38	37	GDS2113	[44]
Pleural mesothelioma	14902	10	44	GDS1220	[45]
Pollution	37804	88	41	-	[46]
Prostate cancer	14023	18	45	GDS1390	[47]
Sarcoma and hypoxia	14902	15	39	GDS1209	[48]
Smoking	5664	18	26	GDS2489	[49]
Squamous-cell carcinoma	9460	22	22	GDS2520	[50]
Testicular seminoma	9460	22	14	GDS2842	[51]

Number of genes interrogated and number of samples in each of the two classes of each dataset.

ISSN: 1471-2105