Table 5.
Sample output generated by the Patterns extension.
| Average Inputs | Average Outputs | |||||||||||||
| Global Output | Count | ECM | EGF | ExtPump | alpha_q Ligand | alpha_i Ligand | alpha_s Ligand | alpha_12_13 Ligand | IL1_TNF | Stress | Akt | Erk | Cdc42 | Rac |
| 1000 | 218 | 23 | 26 | 55 | 51 | 50 | 45 | 55 | 2 | 2 | 20 | 3 | 1 | 1 |
| 2000 | 157 | 23 | 67 | 38 | 45 | 47 | 51 | 50 | 1 | 2 | 43 | 4 | 2 | 1 |
| 2100 | 96 | 29 | 78 | 40 | 50 | 44 | 44 | 54 | 4 | 2 | 48 | 14 | 3 | 2 |
| 2110 | 96 | 60 | 76 | 48 | 48 | 55 | 53 | 48 | 2 | 2 | 47 | 15 | 17 | 6 |
| 1011 | 77 | 73 | 21 | 55 | 46 | 60 | 50 | 53 | 2 | 2 | 20 | 5 | 18 | 15 |
| 2111 | 62 | 85 | 68 | 34 | 54 | 53 | 49 | 58 | 2 | 2 | 43 | 16 | 21 | 13 |
| 2010 | 46 | 54 | 65 | 54 | 47 | 50 | 52 | 45 | 1 | 2 | 40 | 5 | 15 | 5 |
| 1010 | 41 | 49 | 30 | 66 | 43 | 48 | 52 | 46 | 2 | 2 | 20 | 4 | 15 | 6 |
| 2121 | 37 | 88 | 70 | 54 | 54 | 58 | 48 | 41 | 2 | 1 | 41 | 17 | 38 | 14 |
| 1021 | 35 | 88 | 26 | 77 | 47 | 55 | 57 | 33 | 2 | 2 | 19 | 5 | 36 | 21 |
| 2011 | 29 | 84 | 50 | 40 | 54 | 53 | 63 | 54 | 1 | 2 | 35 | 6 | 19 | 15 |
| 1001 | 16 | 69 | 18 | 40 | 59 | 25 | 50 | 54 | 2 | 1 | 18 | 4 | 5 | 12 |
| 0000 | 13 | 45 | 10 | 49 | 47 | 4 | 54 | 54 | 2 | 2 | 6 | 3 | 0 | 5 |
| 1121 | 12 | 83 | 40 | 60 | 46 | 41 | 48 | 31 | 2 | 2 | 24 | 12 | 40 | 17 |
| 2120 | 10 | 69 | 82 | 71 | 46 | 57 | 55 | 37 | 2 | 1 | 49 | 16 | 34 | 6 |
| 1111 | 8 | 82 | 30 | 29 | 60 | 41 | 53 | 38 | 3 | 2 | 25 | 10 | 18 | 16 |
| 1022 | 7 | 97 | 7 | 85 | 48 | 64 | 18 | 39 | 2 | 2 | 13 | 4 | 40 | 33 |
| 2021 | 6 | 87 | 62 | 56 | 62 | 57 | 53 | 51 | 1 | 3 | 38 | 6 | 33 | 14 |
| 1110 | 5 | 55 | 56 | 72 | 58 | 51 | 55 | 38 | 4 | 2 | 26 | 12 | 16 | 6 |
| 1020 | 5 | 62 | 46 | 87 | 51 | 24 | 43 | 18 | 2 | 1 | 20 | 5 | 32 | 8 |
| 1100 | 4 | 29 | 54 | 68 | 46 | 29 | 44 | 44 | 4 | 2 | 22 | 11 | 2 | 2 |
| 2200 | 4 | 38 | 95 | 74 | 46 | 36 | 36 | 54 | 4 | 3 | 67 | 34 | 4 | 3 |
| 2210 | 3 | 67 | 95 | 72 | 45 | 41 | 20 | 52 | 4 | 2 | 62 | 31 | 23 | 5 |
| 0001 | 3 | 79 | 10 | 87 | 64 | 9 | 65 | 73 | 3 | 0 | 8 | 4 | 5 | 15 |
| 0011 | 3 | 78 | 14 | 92 | 49 | 22 | 74 | 67 | 0 | 3 | 8 | 0 | 18 | 18 |
| 2221 | 2 | 92 | 91 | 54 | 11 | 49 | 12 | 54 | 4 | 1 | 58 | 30 | 38 | 12 |
| 2020 | 2 | 70 | 89 | 98 | 54 | 34 | 3 | 46 | 0 | 3 | 65 | 3 | 46 | 6 |
| 2220 | 1 | 71 | 99 | 77 | 67 | 63 | 27 | 16 | 5 | 5 | 55 | 33 | 33 | 8 |
| 1101 | 1 | 89 | 40 | 18 | 31 | 1 | 68 | 22 | 5 | 5 | 27 | 12 | 7 | 14 |
| 2101 | 1 | 93 | 79 | 66 | 75 | 0 | 77 | 97 | 4 | 1 | 53 | 22 | 7 | 12 |
In this particular experiment, ECM, EGF, ExtPump, alpha_q, alpha_i, and alpha_12_13 ligands were set to vary between 0–100% ON, while IL1_TNF and Stress varied between 0 and 5% ON. The first and second columns summarize all global outputs (or patterns) and their frequency produced by the model in response to the various external stimuli. Columns labeled as Average Inputs represent all external inputs and their average % ON value for a given global output. Similarly, Average Outputs contain output nodes and their average % ON for a given pattern. In this example the patterns are in ternary: 0–9% ON = 0, 10–29% ON = 1, and 30–100% ON = 2. These ranges were determined to be the most useful in previous experiments [14], but any ranges (or discretization) can be used. Focusing on the first row, it can be seen that there were 218 of the 1000 simulations where output pattern was '1000', i.e., Akt output was in the 10–29% range, Erk was in the 0–9% range, etc. Of those 218 simulations, the average output values of Akt was 20, the average Erk value was 3, etc. The average external-input values that elicited the '1000' response is given in each of the Inputs columns, e.g., the average external-input value that resulted in the '1000' response was ECM = 23% ON, EGF = 26% ON, etc. These experiments were carried out under non-stress conditions, thus IL1_TNF and Stress external inputs varied only from 0 to 5% ON.