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The ProtTest server (v2.4) [ 71] with AICc selection criteria was used to determine the best fitting model of protein evolution for each family, in both cases the LG model [ 72] with gamma-distributed rate variation and a portion of invariant sites.
Health will determine the selection.
Two criteria would determine the selection.
This paper proposes a method to determine the optimal fitting coefficients for local troposphere modeling.
Consequently, the NESDA data were screened beforehand to determine the best fitting factor structure.
MrModeltest v2 [ 63] was used to determine the best fitting model of DNA substitution.
Adjusted r (radj) was used as the primary selection criterion to determine the best-fitting models, along with the biological relevance of models with similar radj values.
We used the Akaike Information Criterion AICC) to determine the best-fitting model.
Modetest 3.7 [ 39] was used to determine the best-fitting model for the bacterial 16S data.
After determining the best-fitting mixed-effect polynomial parameterization, two primary models were fit.
So, an appropriate number of cycles determined by the fitting error can effectively avoid excessive fitting, promoting model prediction reliability.
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