A Benchmark for Methods in Reverse Engineering and Model Discrimination: Problem Formulation and Solutions
| time [h] |
X [g/l] |
S [g/l] |
| 0 |
0.1088 |
1.9134 |
| 2.0000 |
0.4345 |
0.0805 |
| 4.0000 |
0.4811 |
0.0791 |
| 6.0000 |
0.4114 |
0.0734 |
| 8.0000 |
0.3956 |
0.0990 |
| 10.0000 |
0.3714 |
0.0724 |
| 12.0000 |
0.3995 |
0.0782 |
| 14.0000 |
0.4477 |
0.0752 |
| 16.0000 |
0.4190 |
0.0853 |
| 18.0000 |
0.3540 |
0.0725 |
| 20.0000 |
0.3690 |
0.0781 |
| 22.0000 |
0.4345 |
0.1195 |
| 24.0000 |
0.3183 |
0.1178 |
| 26.0000 |
0.3767 |
0.1099 |
| 28.0000 |
0.3489 |
0.1243 |
| 30.0000 |
0.4019 |
0.1249 |
| 32.0000 |
0.2023 |
0.0403 |
| 34.0000 |
0.1595 |
0.0703 |
| 36.0000 |
0.1068 |
0.0691 |
| 38.0000 |
0.0868 |
0.0933 |
| 40.0000 |
0.1047 |
0.0893 |
| 42.0000 |
0.0967 |
0.1000 |
| 44.0000 |
0.0714 |
0.0965 |
| 46.0000 |
0.0916 |
0.1122 |
| 48.0000 |
0.0992 |
0.1234 |
| 50.0000 |
0.0877 |
0.1180 |
| 52.0000 |
0.0766 |
0.1133 |
| 54.0000 |
0.0747 |
0.1196 |
| 56.0000 |
0.0769 |
0.1256 |
| 58.0000 |
0.0786 |
0.1269 |
| 60.0000 |
0.0781 |
0.1138 |
| M1 |
M2 |
M3 |
| 0.0620 |
0.0079 |
0.0749 |
| 0.4479 |
0.0110 |
0.0124 |
| 0.3045 |
0.0102 |
0.0173 |
| 0.2534 |
0.0133 |
0.0266 |
| 0.2569 |
0.0116 |
0.0294 |
| 0.2736 |
0.0125 |
0.0378 |
| 0.2561 |
0.0130 |
0.0257 |
| 0.2268 |
0.0112 |
0.0332 |
| 0.2086 |
0.0121 |
0.0305 |
| 0.2375 |
0.0121 |
0.0296 |
| 0.2539 |
0.0128 |
0.0342 |
| 0.4895 |
0.0169 |
0.0258 |
| 0.4561 |
0.0147 |
0.0176 |
| 0.4673 |
0.0173 |
0.0187 |
| 0.5358 |
0.0144 |
0.0152 |
| 0.5961 |
0.0149 |
0.0156 |
| 0.1357 |
0.0067 |
0.0319 |
| 0.1584 |
0.0089 |
0.0432 |
| 0.1873 |
0.0121 |
0.0418 |
| 0.2860 |
0.0138 |
0.0296 |
| 0.3434 |
0.0135 |
0.0322 |
| 0.4408 |
0.0152 |
0.0267 |
| time [h] |
X [g/l] |
S [g/l] |
| 0.4767 |
0.0161 |
0.0225 |
| 0.5163 |
0.0180 |
0.0222 |
| 0.5675 |
0.0165 |
0.0189 |
| 0.5399 |
0.0181 |
0.0202 |
| 0.5851 |
0.0177 |
0.0176 |
| 0.6062 |
0.0157 |
0.0157 |
| 0.5443 |
0.0128 |
0.0205 |
| 0.6399 |
0.0143 |
0.0154 |
| 0.6020 |
0.0127 |
0.0142 |
-
Genome Res.
2004.
14:
1773-1785