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The HKY+G model was selected after a model fit analysis using the corrected Akaike Information Criteria test.
This analysis compares the goodness of fit of phylogenies inferred from alignment fragments under the maximum likelihood framework using the corrected Akaike Information Criterion.
We considered three nested models which were evaluated using the corrected Akaike information criterion (AICc; [ 74]).
The best-fitting models of nucleotide substitution for partition were independently selected using the corrected Akaike Information Criterion [ 25, 26].
The optimal substitution model of each partition (oPS) was determined by jModelTest 2 [ 109], using the corrected Akaike information criterion (AICc) (Additional file 13).
The optimal partitioning scheme for each alignment was chosen from among several commonly used partitioning strategies using the corrected Akaike information criterion (AICc) [ 164, 165].
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To rank model performance, we used
To construct the maximum-likelihood tree, we used the corrected Akaike Information Criterion and the MUSCLE program within MEGA5.
The theoretical gene frequencies were fit to the empirical gene frequencies by minimizing the square log deviation (SLD) in log space (3) over the parameters of the model and using the corrected AIC (Akaike 1974) to differentiate between models with differing numbers p of parameters (4) Models A, B, and C postulate parametrized gene replacement rate distributions.
Model support was assessed using the corrected version of Akaike Information Criterion (AICc) for small sample sizes, and ΔAIC was used to infer support for models in the candidate set [ 69].
The General Time Reversible (GTR)+G+I substitution model was the best fitting model as tested using MEGA5 Bayesian information criterion (BIC) scores, the corrected Akaike information criterion (AIC) value, and the maximum-likelihood value (lnL).
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using the corrected soil
using the corrected emission
using the corrected absorbance
using the corrected blow
using the corrected affinity
using the corrected beam
using the corrected group
using the corrected loglikelihood
using the corrected data
using the corrected image
using the corrected item-scale
using the corrected protein
using the corrected absolute
using the corrected standard
using the corrected item-total
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