Table 3 Characteristics of microarray datasets for platform, sample groups, and grade, type and stage in endometrial cancers
From: Visual gene-network analysis reveals the cancer gene co-expression in human endometrial cancer
Characteristics | Training dataset (n = 273) | Validation set A (n = 40) | Validation set B (n = 90) |
|---|---|---|---|
Sample | Â | Â | Â |
 Control | 37 (14%) | 20 (50%) | 45 (50%) |
 Case | 236 (86%) | 20 (50%) | 45 (50%) |
Grade a | Â | Â | Â |
 G1 | 86 (36%) |  | 20 (44%) |
 G2 | 43 (18%) | - | 12 (27%) |
 G3 | 52 (22%) | - | 8 (18%) |
 Unknown | 55 (23%) | - | 5 (11%) |
Type a | Â | Â | Â |
 T1 | 113 (48%) | 10 (50%) | - |
 T2 | 84 (36%) | 10 (50%) | - |
 Unknown | 39 (17%) | 0 | - |
Stage a | Â | Â | Â |
 IA | 31 (13%) | 10 (50%) | 10 (22%) |
 IB | 37 (16%) | - | 10 (22%) |
 IC or late stage | 23 (10%) | 10 (50%) | 19 (42%) |
 Unknown | 82 (61%) | 0 | 6 (14%) |
Platform | Â | Â | Â |
 Affymetrix | 140 | - | - |
 Illumina | 19 | 20 | - |
 Agilent | 114 | - | - |
 Swegene | - | - | 45 |