Table 4.
The table contains information related to WGCNA results, and second column contains name to datasets analyzed.
| Sr. No | Dataset name | β-value |
Modules with correlation >= 0.6 (Pos-Mod) |
Number of significant genes (Pos-Mod) |
Number of significant pathways (Pos-Mod) |
Modules with Correlation < = −0.6 (Neg-Mod) |
Number of significant genes (Neg-Mod) |
Number of significant pathways (Neg-Mod) |
|---|---|---|---|---|---|---|---|---|
| Microarray Data | ||||||||
| 1 | E-GEOD-15471 | 20 | Gray, brown, yellow |
895 | 51 | Turquoise | 602 | 19 |
| 2 | E-GEOD-18670 | 16 | Turquoise, brown, yellow, Green |
1,514 | 78 | Gray, red, black, blue |
659 | 42 |
| 3 | E-GEOD-28735 | 9 | Turquoise, gray, brown |
166 | 33 | 0 | Nill | Nill |
| 4 | E-GEOD-41368 | 16 | Turquoise, gray, brown |
2,457 | 151 | Yellow, green, red, blue |
741 | 40 |
| 5 | E-GEOD-62452 | 10 | Gray, brown | 18 | 13 | 0 | Nill | Nill |
| RNA-seq Data | ||||||||
| 1 | GSE119794 | 12 | Blue | 67 | 5 | 0 | Nill | Nill |
| 2 | E-MTAB-3494 | 12 | Yellow, turquoise, blue |
1,985 | 133 | Brown | 343 | 28 |
The third column consist of soft threshold value used for calculating adjacency matrix, and forth and seventh column show the names of modules choosed for further analysis. Remaining column contain information of genes selected and significant pathways retrieved for all datasets.