Table 3 The correlation matrix for synthetic datasets 1, 2 and 3.
From: A temporal precedence based clustering method for gene expression microarray data
Dataset 1 | Â | Â | Â | Â | Â | Â |
|---|---|---|---|---|---|---|
Node | 1 | 2 | 3 | 4 | 5 | Â |
1 | 1.0000 | 0.2613 | -0.2309 | -0.2500 | 0.0871 | Â |
2 | 0.2613 | 1.0000 | -0.7114 | -0.7515 | 0.1351 | Â |
3 | -0.2309 | -0.7114 | 1.0000 | 0.7654 | -0.1283 | Â |
4 | -0.2500 | -0.7515 | 0.7654 | 1.0000 | -0.3125 | Â |
5 | 0.0871 | 0.1351 | -0.1283 | -0.3125 | 1.0000 | Â |
Dataset 2 | Â | Â | Â | Â | Â | Â |
Node | 1 | 2 | 3 | 4 | Â | Â |
1 | 1.0000 | -0.0944 | 0.0621 | -0.1088 | Â | Â |
2 | -0.0944 | 1.0000 | -0.0940 | 0.6040 | Â | Â |
3 | 0.0621 | -0.0940 | 1.0000 | 0.0024 | Â | Â |
4 | -0.1088 | 0.6040 | 0.0024 | 1.0000 | Â | Â |
Dataset 3 | Â | Â | Â | Â | Â | Â |
Node | 1 | 2 | 3 | 4 | 5 | 6 |
1 | 1.0000 | 0.1872 | 0.0449 | 0.0329 | 0.1118 | 0.1531 |
2 | 0.1872 | 1.0000 | 0.1105 | 0.0292 | 0.0748 | 0.3101 |
3 | 0.0449 | 0.1105 | 1.0000 | -0.0001 | 0.2516 | 0.0665 |
4 | 0.0329 | 0.0292 | -0.0001 | 1.0000 | 0.0821 | 0.2282 |
5 | 0.1118 | 0.0748 | 0.2516 | 0.0821 | 1.0000 | 0.0907 |
6 | 0.1531 | 0.3101 | 0.0665 | 0.2282 | 0.0907 | 1.0000 |