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Penalized Likelihood was implemented with the Truncated Newton (TN) algorithm.
A heuristic tree search using maximum likelihood was implemented in GARLI [ 84].
Minimum evolution was implemented in Geneious [ 96] using the neighbor-joining algorithm, maximum parsimony was implemented using PAUP [ 99] and maximum likelihood was implemented in GARLI through the Lattice Project Grid computing system using the general time reversible model (nearest option to TrN) and a gamma distribution to account for among-site rate variation [ 100, 101].
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Models of adaptive evolution through phylogenetic analysis of amino acid sequences by maximum likelihood were implemented to determine the mode of UCP1 protein evolution in Eutherians.
Maximum likelihood inference was implemented in GARLI v.0.942 (Genetic Algorithm for Rapid Likelihood Inference) [56] also sampling 2×106 generations for multiple runs to ensure similar trees and lnL scores.
Maximum likelihood bootstrap was implemented using the Phylip [82] programs SEQBOOT, PROML (with JTT model of amino acid change), and CONSENSE.
The maximum-likelihood estimation was implemented in PHYML 3.0 [67] without substitution rate heterogeneity correction or invariant estimation as recommended by Modeltest.
The likelihood ratio test was implemented with the 'smatr' package [ 116, 118].
To construct evolutionary relationships among the isolates, the maximum-likelihood (ML) method was implemented in the Genetic Algorithm for Rapid Likelihood Inference (GARLI) software (Zwickl 2006b).
A three-step procedure based on the One-factor-At-a-Time (OAT) sensitivity analysis and the Generalized Likelihood Uncertainty Estimation (GLUE) was implemented for the two study watersheds.
The maximum likelihood estimate method 307 was implemented in MATLAB, with code available from www.santafe.edu/∼aaronc/powerlaws/.
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