Table 8 Runtimes (in seconds) of bi-directional enrichment on DOT and IDiscs datasets
From: Semantic biclustering for finding local, interpretable and predictive expression patterns
Split | DOT | IDiscs | ||||
|---|---|---|---|---|---|---|
Prepare data | Build model | Test model | Prepare data | Build model | Test model | |
1 | 21.80 | 74.75 | 278.79 | 14.75 | 133.14 | 70.42 |
2 | 20.44 | 122.27 | 233.85 | 13.96 | 112.36 | 53.41 |
3 | 14.76 | 100.80 | 259.17 | 10.11 | 101.49 | 49.12 |
4 | 16.05 | 87.42 | 223.64 | 9.36 | 107.10 | 47.32 |
5 | 14.54 | 120.49 | 266.52 | 9.28 | 72.78 | 60.17 |
6 | 16.98 | 110.70 | 228.80 | 13.87 | 124.81 | 45.06 |
7 | 14.79 | 100.55 | 231.63 | 9.51 | 153.33 | 82.83 |
8 | 14.43 | 80.02 | 229.41 | 14.08 | 144.09 | 50.18 |
9 | 14.58 | 94.29 | 204.34 | 9.73 | 176.95 | 61.83 |
10 | 14.02 | 103.77 | 230.10 | 15.60 | 90.13 | 45.86 |
\(\bar {x}\) | 16.24 | 99.51 | 238.63 | 12.03 | 121.62 | 56.62 |
s d(x) | ±2.73 | ±15.88 | ±22.46 | ±2.61 | ±31.26 | ±12.30 |