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We can compute the maximum values of the unrestricted and restricted log-likelihoods to construct likelihood ratio (LR) statistics for testing some sub-models of the EGG family.
We can compute the maximum values of the unrestricted and restricted log-likelihoods to construct likelihood ratio (LR) statistics for testing some sub-models of the BMO-G distribution.
More precisely, the observed mRNA data are used to construct likelihood functions that explain how the data are generated from the dynamical models.
This model was then used to construct likelihood ratio tests (LRTs) by comparison with the null model (site model M1a neutral).
By evaluating models of both neutrality and selection, it is possible to construct likelihood ratio tests consisting of 0 to n − 1 selected loci to determine the most likely number of loci under selection.
We generated 1,000,000 cycles of the Markov chain (i.e., the chain length) assuming both neutral and selection models, to construct likelihood ratio tests to identify loci showing statistical support of selection —where twice the difference in log likelihood between the models is approximately chi-squared distributed.
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Gene alignments were used to construct Maximum Likelihood trees using Randomized Axelerated Maximum Likelihood (RAxML) version 7.04 [ 55, 56], hosted at the Vital-IT unit of the Swiss Institute of Bioinformatics http://phylobench.vital-it.ch/raxml-bb/.
In order to construct the likelihood functions, a set of features have to be defined that constitute the current observation regarding appearance.
The GTR model in the PhyML software [43] was used to construct maximum likelihood (ML) trees.
The luxI and luxR homologs from S. glossinidius, SOPE and other Gram negative bacteria were used to construct maximum likelihood (ML) phylogenetic trees.
The Lexis diagram displayed in Figure 1 illustrates the ascertainment procedure for sibships and the data needed to construct the likelihood for an absolute risk model.
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