From: mAPC-GibbsOS: an integrated approach for robust identification of gene regulatory networks
 |  |  | Sample Size | ||||
---|---|---|---|---|---|---|---|
 |  |  | 5 | 15 | 25 | 35 | 45 |
 |  | Max | 0.7077 | 0.8421 | 0.8704 | 0.9724 | 0.9742 |
 | Cluster1 | Median | 0.6886 | 0.8090 | 0.8381 | 0.9435 | 0.9732 |
 |  | Min | 0.6333 | 0.7765 | 0.7937 | 0.9268 | 0.9492 |
mAPC-GibbsOS | Â | Â | Â | Â | Â | Â | Â |
 |  | Max | 0.7456 | 0.8563 | 0.8497 | 0.9678 | 0.9769 |
 | Cluster2 | Median | 0.7082 | 0.8231 | 0.8338 | 0.9554 | 0.9534 |
 |  | Min | 0.6549 | 0.7953 | 0.7957 | 0.9383 | 0.9460 |
 |  | Max | 0.5223 | 0.6405 | 0.8704 | 0.9687 | 0.9742 |
 | GibbsOS | Median | 0.4933 | 0.6200 | 0.8497 | 0.9554 | 0.9732 |
 |  | Min | 0.4313 | 0.5759 | 0.7957 | 0.9268 | 0.9534 |