Table 3.
Summary statistics of qualified gene classifiers from network-specific searches
| Chemical/tissue | All tissues (495 search / condition)a | Brain (496 search / condition) | Ovary (495 search / condition) | Testis (497 search / condition) | Subtotal by chemical |
|---|---|---|---|---|---|
| Prochloraz |
& |
177 |
68 |
76 |
321 |
| Flutamide |
& |
NA |
124 |
0 |
124 |
| Fipronil |
& |
71 |
17 |
20 |
108 |
| 17α-ethynyl estradiol |
0 |
41 |
--- |
50 |
91 |
| Vinclozolin |
0 |
NA |
28 |
1 |
29 |
| Ketoconazole |
& |
18 |
7 |
--- |
25 |
| Muscimol |
& |
22 |
--- |
NA |
22 |
| Fadrozole |
& |
4 |
0 |
NA |
4 |
| 17β-trenbolone |
& |
--- |
0 |
NA |
|
| trilostane |
0 |
NA |
--- |
0 |
|
| Subtotal by tissue | 333 | 243 | 147 |
A total of 517 individual networks were analyzed by chemical-tissue conditions using genetic algorithm-K nearest neighbors. Within a condition, each TF network contributed one classifier composed of multiple gene features. “NA”, a condition not included in the study; “---“, insufficient sample size for classifier search; “0”, searched but no qualified classifier; “&”, no search conducted.
aBetween 20 to 22 of the 517 networks did not contain sufficient number of genes to be searched due to variations in their availability in different datasets.