Table 1 The predictive performance of our method in a series of cross-validation experiments.
From: Large-scale prediction of microRNA-disease associations by combinatorial prioritization algorithm
Random MicroRNAs | Leave-One-Out | 50a | 100a | 150a | 200a | 250a | 300a | All microRNAs1 |
84.12%c | 85.00%c | 85.61%c | 86.10%c | 86.56%c | 86.76%c | 86.93% | ||
Ab Initio | 50a | 100a | 150a | 200a | 250a | 300a | All microRNAs1 | |
69.23%c | 68.89%c | 69.68%c | 70.00%c | 70.44%c | 71.30%c | 70.92% | ||
Random Diseases | Leave-One-Out | 90b | 100b | 110b | 120b | 130b | 140b | All diseases2 |
81.53%c | 80.66%c | 79.44%c | 83.43%c | 81.52%c | 83.47%c | 83.50% | ||
Ab Initio | 90b | 100b | 110b | 120b | 130b | 140b | All diseases2 | |
77.97%c | 77.28%c | 79.38%c | 79.27%c | 79.63%c | 79.02%c | 80.03% |