Figure 4From: γ-MYN: a new algorithm for estimating Ka and Ks with consideration of variable substitution ratesThe effect of t based on YN, MYN, and γ -MYN. γ-MYN deviates less under the effect of t as compared to other methods. Both YN and MYN tend to overestimate ω. Since MYN and γ-MYN are two modified forms of YN, all datasets exhibit a similar trend. However, when t increases, γ-MYN performs better than the other two methods. Parameter values are (A) α = 4, κR = 10, κY = 1, the expected value of ω = 0.2; (B) α = 4, κR = 10, κY = 1, the expected value of ω = 0.3; and (C) α = 4, κR = 10, κY = 1, the expected value of ω = 0.4.Back to article page