Your English writing platform
Free sign upSuggestions(5)
Exact(60)
This figure shows the maximum likelihood bootstrap support percentages.
Values at nodes denote maximum likelihood bootstrap support (n = 1,000).
We therefore present the Bayesian inference tree with posterior probabilities and Maximum likelihood bootstrap values (Fig. 3 ).
The tree shown was produced with the maximum likelihood algorithm; values at nodes denote maximum likelihood bootstrap support percentages (n = 1,000 replicates) and Bayesian posterior probabilities (see Methods).
All phylogenetic trees shown were produced with the maximum likelihood algorithm; values at nodes denote maximum likelihood bootstrap support percentages (n = 1,000 replicates) and Bayesian posterior probabilities (see Methods).
Maximum likelihood bootstrap values were obtained by running 10,000 replicates.
Values at branches represent maximum likelihood bootstrap percentages from 100trees/maximumm parsimony bootstrap percentages from 1,000 trees/Bayesian posterior probabilities.
Maximum likelihood bootstrap support (BS) values ≥90% were considered to constitute strong nodal support.
Most of the species were retrieved with >50% parsimony jackknife and maximum likelihood bootstrap support from GARLI (Table S1).
Maximum likelihood bootstrap was implemented using the Phylip [82] programs SEQBOOT, PROML (with JTT model of amino acid change), and CONSENSE.
Additional results from Bayesian and Maximum Likelihood bootstrap analyses.
More suggestions(15)
maximum likelihood expectation
maximum likelihood theory
maximum likelihood phylogram
maximum likelihood estimation/estimator
maximum likelihood reconstruction
maximum likelihood dendrogram
maximum likelihood learning
maximum likelihood ratio
maximum likelihood tree
maximum likelihood analysis
maximum likelihood estimation
maximum likelihood approach
maximum likelihood estimator
maximum likelihood Estimation
maximum likelihood estimate
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com