Table 4 Evaluation results of the proposed approaches to semantic biclustering
From: Semantic biclustering for finding local, interpretable and predictive expression patterns
Dataset | Method | AUROC | # of biclusters | # of terms per bicluster |
|---|---|---|---|---|
Ovary | Bicluster Enrichment | 0.823 ±0.006 | 11.8 ±1.5 | 64.8 ±3.4 |
Rules (JRip) | 0.636 ±0.01 | 102.6 ±21.5 | 7.1 ±0.61 | |
Tree (J48) | 0.659 ±0.01 | 109.9 ±5.2 | 25.4 ±2.0 | |
IDiscs | Bicluster Enrichment | 0.608 ±0.03 | 16.4 ±4.7 | 47.9 ±2.13 |
Rules (JRip) | 0.565 ±0.01 | 25.9 ±6.2 | 7.89 ±0.53 | |
Tree (J48) | 0.627 ±0.05 | 20.6 ±11.09 | 11.01 ±4.71 |