Table 3 Experimental results on Conf-1 (5-gene synthetic network)
From: Incorporating time-delays in S-System model for reverse engineering genetic networks
| Â | Conf-1 (No-delay network) | |||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Â | 0% Noise | 5% Noise | 10% Noise | 25% Noise | ||||||||||||
| Â | S n | S p | P r | F | S n | S p | P r | F | S n | S p | P r | F | S n | S p | P r | F |
TDSS (Best) | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 0.95 | 0.87 | 0.93 | 1.00 | 0.87 | 0.72 | 0.84 |
TDSS | 1.00 ± | 1.00 ± | 1.00 ± | 1.00 ± | 1.00 ± | 0.98 ± | 0.95 ± | 0.97 ± | 1.00 ± | 0.93 ± | 0.84 ± | 0.91 ± | 1.00 ± | 0.84 ± | 0.68 ± | 0.81 ± |
(Average ±Std) | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.02 | 0.05 | 0.03 | 0.00 | 0.02 | 0.05 | 0.03 | 0.00 | 0.01 | 0.02 | 0.01 |
ALG [34] | 1.00 | 0.35 | 0.35 | 0.52 | 1.00 | 0.68 | 0.52 | 0.68 | 0.92 | 0.65 | 0.48 | 0.63 | 0.91 | 0.64 | 0.46 | 0.60 |
REGARD [19] | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 0.97 | 0.93 | 0.96 | 1.00 | 0.92 | 0.80 | 0.86 | 1.00 | 0.84 | 0.68 | 0.81 |
Noman et al.[17] | 1.00 | 0.45 | 0.39 | 0.27 | 1.00 | 0.73 | 0.57 | 0.44 | 0.92 | 0.75 | 0.57 | 0.39 | 0.89 | 0.79 | 0.61 | 0.38 |
Kimura [48] | 1.00 | 0.84 | 0.68 | 0.58 | - | - | - | - | - | - | - | - | - | - | - | - |
S-Tree [39] | 1.00 | 1.00 | 1.00 | 1.00 | - | - | - | - | - | - | - | - | - | - | - | - |
Hasan et al.[49] | 1.00 | 0.45 | 0.39 | 0.27 | 1.00 | 0.73 | 0.57 | 0.44 | 1.00 | 0.68 | 0.52 | 0.40 | - | - | - | - |
DPSO -L1 [50] | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 0.81 | 0.65 | 0.54 | - | - | - | - | 0.89 | 0.75 | 0.55 | 0.32 |
LTV [51] | 1.00 | 0.73 | 0.80 | 0.72 | 1.00 | 0.70 | 0.75 | 0.66 | 0.90 | 0.60 | 0.69 | 0.51 | - | - | - | - |
BANJO [43] | 0.42 | 0.77 | 0.63 | 0.50 | 0.42 | 0.70 | 0.56 | 0.48 | 0.42 | 0.70 | 0.56 | 0.48 | 0.33 | 0.70 | 0.50 | 0.40 |
BITGRN2 [42] | 0.92 | 0.77 | 0.79 | 0.85 | - | - | - | - | - | - | - | - | - | - | - | - |