|
Cellular Automata simulation of the dynamics* of feed-forward series FFA shown in Fig. 1 |
|||||||
| Number of Nodes |
Lattice Density % |
Number of Runs |
SD** average |
SD % |
|||
|
|
|||||||
| 50 |
100 |
250 |
1000 |
||||
|
|
|||||||
| 3 |
3.6 |
447 |
469 |
458 |
460 |
7 |
1.51 |
| 10 |
143 |
145 |
144 |
144 |
8 |
5.56 |
|
| 60 |
21 |
20 |
21 |
20 |
8 |
39.0 |
|
| 6 |
3.6 |
939 |
895 |
893 |
906 |
8 |
0.89 |
| 10 |
287 |
293 |
290 |
288 |
10 |
3.45 |
|
| 60 |
41 |
42 |
41 |
41 |
9 |
21.6 |
|
| 9 |
3.6 |
1430 |
1425 |
1426 |
1422 |
2 |
0.14 |
| 10 |
458 |
460 |
456 |
458 |
2 |
0.44 |
|
| 60 |
65 |
65 |
65 |
65 |
9 |
13.9 |
|
|
* Dynamics is expressed as the average number of iterations needed for 100% conversion of 100 source substrate cells into the target product. It is modeled at different number of nodes, different lattice densities, and different number of cellular automata runs. ** Standard deviation | |||||||
Apte et al. Journal of Biological Engineering 2008 2:2 doi:10.1186/1754-1611-2-2 |
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