Skip to main content
. 2016 Apr 4;203(2):847–862. doi: 10.1534/genetics.115.182691

Table 2 .

Expected prediction error under various experimental designs

Experimental design Type of mutation* Landscapes using this protocol n Wmax σ Q
rej reg nn rej reg nn rej reg nn rej reg nn
5 mutations, 25 genotypes R A, C 0.85 0.68 0.64 0.57 0.39 0.37 0.44 0.35 0.32 0.67 0.49 0.43
IS - 0.91 0.79 0.7 0.34 0.2 0.18 0.33 0.19 0.19 0.35 0.15 0.09
CS F 0.83 0.73 0.63 0.34 0.19 0.17 0.53 0.37 0.33 0.39 0.24 0.17
4 mutations, 24 genotypes R - 0.93 0.8 0.78 0.79 0.58 0.54 0.42 0.36 0.35 0.64 0.52 0.45
IS I 0.87 0.76 0.67 0.41 0.22 0.18 0.43 0.25 0.23 0.48 0.27 0.2
CS G 0.9 0.76 0.69 0.37 0.2 0.17 0.49 0.33 0.3 0.42 0.33 0.24
8 mutations, 8 single and 20 double mutants RS - 0.8 0.58 0.54 0.68 0.48 0.5 0.37 0.3 0.29 0.55 0.44 0.4
IS - 0.75 0.69 0.63 0.44 0.29 0.22 0.41 0.29 0.28 0.47 0.33 0.29
CS - 0.77 0.67 0.62 0.4 0.21 0.18 0.43 0.26 0.23 0.27 0.23 0.2
20 mutations, up to 121 genotypes R B 0.72 0.62 0.54 0.48 0.25 0.21 0.35 0.23 0.22 0.62 0.45 0.39
9 mutations, 9 single mutants, 18 double mutants IS D 0.74 0.68 0.63 0.37 0.22 0.15 0.38 0.27 0.24 0.45 0.37 0.32
6 mutations, 6 single mutants, 15 double mutants IS E 0.81 0.8 0.76 0.45 0.25 0.18 0.39 0.33 0.3 0.67 0.59 0.54
5 mutations, 25 genotypes IS, high fitness combination H1, H2 0.86 0.74 0.61 0.24 0.09 0.06 0.42 0.25 0.22 0.24 0.1 0.05
4 mutations, 24 genotypes IS, small fitness effect mutants H3 0.8 0.84 0.78 0.69 0.52 0.43 0.5 0.41 0.38 0.69 0.48 0.36
4 mutations, 24 genotypes IS, large fitness effect mutants H4 0.94 0.72 0.56 0.26 0.1 0.07 0.25 0.15 0.14 0.27 0.1 0.04

Prediction error for the four parameters of Fisher’s model, for several experimental designs (based on single and double mutants, or complete sets of mutations and all associated genotypes) and selection procedures (* R: random, IS: independently selected, CS: co-selected mutations), when the 6 summary statistics were used in the ABC algorithm. For each parameter, the three lowest prediction errors are in bold, highlighting the protocol and inference algorithms that perform best.