Table 2 Performance comparison of three algorithms in biological experiments
From: Concentration optimization of combinatorial drugs using Markov chain-based models
| Â | GG algorithm | MGG algorithm | Markov Chain algorithm | |||
|---|---|---|---|---|---|---|
Success rate | # of iters | Success rate | # of iters | Success rate | # of iters | |
MCF-7 | ||||||
 \({\uplambda } = 0.7\) | 0.20 | 10.8 | 0.39 | 5.4 | 1.00 | 19.0 |
 \({\uplambda } = 0.8\) | 0 | NaN | 0 | NaN | 1.00 | 19.0 |
 \({\uplambda } = 0.9\) | 0 | NaN | 0 | NaN | 1.00 | 19.2 |
 \(P = 5\%\) | 0 | NaN | 0 | NaN | 1.00 | 19.2 |
BXPC-3 | ||||||
 \({\uplambda } = 0.7\) | 0.48 | 11.0 | 0.20 | 1.0 | 1.00 | 7.0 |
 \({\uplambda } = 0.8\) | 0.05 | 8.2 | 0 | NaN | 1.00 | 7.0 |
 \({\uplambda } = 0.9\) | 0 | NaN | 0 | NaN | 1.00 | 19.0 |
 \(P = 5\%\) | 0 | NaN | 0 | NaN | 1.00 | 19.0 |