The results of genetic algorithm model selection applied to N = 100 alignments obtained using forward simulations for different strengths of selection (0: neutral, −5: strong purifying selection)
Selection coefficient 2Ns . | ΔBIC . | MCC . | Fisher exact test P-value . | Inferred codon classes . | Simulated (true) codon classes . | Ambiguously assigned pairs . | |
---|---|---|---|---|---|---|---|
Selected (25) . | Neutral (42) . | ||||||
0 | 152.8 | −0.25 | 0.06 | Selected (45) | 12 | 32 | 10 |
Neutral (22) | 12 | 10 | |||||
−0.5 | 192.6 | 0.093 | 0.54 | Selected (53) | 21 | 32 | 7 |
Neutral (14) | 4 | 10 | |||||
−1 | 282.5 | 0.51 | 4.02e-05 | Selected (29) | 19 | 10 | 6 |
Neutral (38) | 6 | 32 | |||||
−1.5 | 675.0 | 0.65 | 1.7e-7 | Selected (26) | 20 | 6 | 4 |
Neutral (41) | 5 | 36 | |||||
−2 | 1630.4 | 0.81 | 2.07e-11 | Selected (23) | 21 | 2 | 3 |
Neutral (44) | 4 | 40 | |||||
−5 | 17,974.7 | 0.97 | 2.6e-17 | Selected (24) | 24 | 0 | 0 |
Neutral (43) | 1 | 42 |
Selection coefficient 2Ns . | ΔBIC . | MCC . | Fisher exact test P-value . | Inferred codon classes . | Simulated (true) codon classes . | Ambiguously assigned pairs . | |
---|---|---|---|---|---|---|---|
Selected (25) . | Neutral (42) . | ||||||
0 | 152.8 | −0.25 | 0.06 | Selected (45) | 12 | 32 | 10 |
Neutral (22) | 12 | 10 | |||||
−0.5 | 192.6 | 0.093 | 0.54 | Selected (53) | 21 | 32 | 7 |
Neutral (14) | 4 | 10 | |||||
−1 | 282.5 | 0.51 | 4.02e-05 | Selected (29) | 19 | 10 | 6 |
Neutral (38) | 6 | 32 | |||||
−1.5 | 675.0 | 0.65 | 1.7e-7 | Selected (26) | 20 | 6 | 4 |
Neutral (41) | 5 | 36 | |||||
−2 | 1630.4 | 0.81 | 2.07e-11 | Selected (23) | 21 | 2 | 3 |
Neutral (44) | 4 | 40 | |||||
−5 | 17,974.7 | 0.97 | 2.6e-17 | Selected (24) | 24 | 0 | 0 |
Neutral (43) | 1 | 42 |
ΔBIC reports the improvement by the best model found by the genetic algorithm search compared to the baseline MG94 model. The 2 × 2 contingency table of simulated/inferred classifications for each codon pair, the corresponding P-value for association, and the MCC are provided. Bolded values in the 2 × 2 contingency table highlight the number of simulated codon classes that were correctly classified by the genetic algorithm. For classification purposes, we place each codon pair in the selected/neutral class based on which received more model averaged support. To quantify the degree of assignment uncertainty, we also tabulate how many of the 67 rates were “ambiguous,” i.e. had <0.9 support for the class assignment.
The results of genetic algorithm model selection applied to N = 100 alignments obtained using forward simulations for different strengths of selection (0: neutral, −5: strong purifying selection)
Selection coefficient 2Ns . | ΔBIC . | MCC . | Fisher exact test P-value . | Inferred codon classes . | Simulated (true) codon classes . | Ambiguously assigned pairs . | |
---|---|---|---|---|---|---|---|
Selected (25) . | Neutral (42) . | ||||||
0 | 152.8 | −0.25 | 0.06 | Selected (45) | 12 | 32 | 10 |
Neutral (22) | 12 | 10 | |||||
−0.5 | 192.6 | 0.093 | 0.54 | Selected (53) | 21 | 32 | 7 |
Neutral (14) | 4 | 10 | |||||
−1 | 282.5 | 0.51 | 4.02e-05 | Selected (29) | 19 | 10 | 6 |
Neutral (38) | 6 | 32 | |||||
−1.5 | 675.0 | 0.65 | 1.7e-7 | Selected (26) | 20 | 6 | 4 |
Neutral (41) | 5 | 36 | |||||
−2 | 1630.4 | 0.81 | 2.07e-11 | Selected (23) | 21 | 2 | 3 |
Neutral (44) | 4 | 40 | |||||
−5 | 17,974.7 | 0.97 | 2.6e-17 | Selected (24) | 24 | 0 | 0 |
Neutral (43) | 1 | 42 |
Selection coefficient 2Ns . | ΔBIC . | MCC . | Fisher exact test P-value . | Inferred codon classes . | Simulated (true) codon classes . | Ambiguously assigned pairs . | |
---|---|---|---|---|---|---|---|
Selected (25) . | Neutral (42) . | ||||||
0 | 152.8 | −0.25 | 0.06 | Selected (45) | 12 | 32 | 10 |
Neutral (22) | 12 | 10 | |||||
−0.5 | 192.6 | 0.093 | 0.54 | Selected (53) | 21 | 32 | 7 |
Neutral (14) | 4 | 10 | |||||
−1 | 282.5 | 0.51 | 4.02e-05 | Selected (29) | 19 | 10 | 6 |
Neutral (38) | 6 | 32 | |||||
−1.5 | 675.0 | 0.65 | 1.7e-7 | Selected (26) | 20 | 6 | 4 |
Neutral (41) | 5 | 36 | |||||
−2 | 1630.4 | 0.81 | 2.07e-11 | Selected (23) | 21 | 2 | 3 |
Neutral (44) | 4 | 40 | |||||
−5 | 17,974.7 | 0.97 | 2.6e-17 | Selected (24) | 24 | 0 | 0 |
Neutral (43) | 1 | 42 |
ΔBIC reports the improvement by the best model found by the genetic algorithm search compared to the baseline MG94 model. The 2 × 2 contingency table of simulated/inferred classifications for each codon pair, the corresponding P-value for association, and the MCC are provided. Bolded values in the 2 × 2 contingency table highlight the number of simulated codon classes that were correctly classified by the genetic algorithm. For classification purposes, we place each codon pair in the selected/neutral class based on which received more model averaged support. To quantify the degree of assignment uncertainty, we also tabulate how many of the 67 rates were “ambiguous,” i.e. had <0.9 support for the class assignment.
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