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Table 1 The gene expression datasets used in this study

From: Cancer core modules identification through genomic and transcriptomic changes correlation detection at network level

Name

Cancer type

#Gene

Platform

#Patients

Pathological settings

Lin07

colorectal cancer

4428

Affymetrix Human Genome U133A Array

55

29 non-recurrence vs. 26 recurrence

Barrier06

colorectal cancer

4428

Affymetrix Human Genome U133A Array

50

25 non-recurrence vs. 25 recurrence

Wang05

breast cancer

4428

Affymetrix Human Genome U133A Array

286

180 non-metastasis vs. 106 metastasis

Van02

breast cancer

4203

Agilent oligonucleotide Hu25K microarray

295

217 non-metastasis vs. 78 metastasis

Jones05

clear-cell renal cell carcinoma

4428

Affymetrix Human Genome U133A Array

55

23 normal vs. 32 ccRCC

Wuttig09

clear-cell renal cell carcinoma

4428

Affymetrix Human Genome U133 Plus 2.0 Array

68

29 good prognosis vs. 39 poor prognosis

Sanchez10

non-small cell lung cancer

4428

Affymetrix Human Genome U133 Plus 2.0 Array

91

45 normal vs. 46 tumor

Beer02

non-small cell lung cancer

2644

Affymetrix Human Full Length HuGeneFL Array

86

24 dead vs. 62 alive

Riker08

melanoma

4428

Affymetrix Human Genome U133 Plus 2.0 Array

82

42 non-metastatic vs. 40 metastatic

Freije04

gliomas

4428

Affymetrix Human Genome U133A Array

85

59 dead vs. 26 alive