Sentence examples for model for likelihood from inspiring English sources

The Tamura-Nei plus gamma (TrN + G) model was selected as the optimal nucleotide substitution model for likelihood analyses using Modeltest with the AIC criterion [ 97, 98].

The comparable model for likelihood to consult an ED explained 27,7% of the variance and demonstrates that being homeless also increases the likelihood to consult an ED, after adjusting for age and sex (see table 3).

The same method was also applied to the trimmed tree (the same topology for Pagel's correlation test) with likelihood reconstruction for maternal care and PO; matrix refers to Additional file 7. The current probability model of the Bayesian tree was used as the source of a character model for likelihood reconstruction at each node.

We improved the evolutionary models for likelihood analysis by properly partitioning the gene data, removed the eight taxa with the longest branches, and used RY coding to lessen the effects of saturation and base composition heterogeneity (Delsuc et al. 2003; Phillips and Penny 2003).

MrModeltest 2.3 [ 74], a modified version of Modeltest 3.6 [ 75], was used to select the best fit likelihood model for maximum likelihood (ML; [ 76]) analyses.

This setup allows nested model comparisons for likelihood ratio tests to directly examine improvement in model fit by the introduction of new classes.

A GC bias in itself is not necessarily problematic for phylogenetic analyses, but nearly all commonly used models for likelihood-based phylogenetic analyses assume single equilibrium nucleotide frequencies.

More recent maximum likelihood approaches that incorporate the C→T,G transition rate in human genomic DNA as a separate parameter to standard substitution models for likelihood-optimization, arrive at mutational rates ranging from 8.5 (TF model; [ 19]) to 9.2 [ 21], similar to the modelled 11.0× – 12.1× rates we derived for mammalian DNA (Table  1).

The most appropriate nucleotide substitution model for maximum likelihood phylogenetic analysis was determined with the model selection procedure implemented in the program Modeltest 3.7.

ProtTest 3 [ 38] proposed the use of the LG + G model for maximum likelihood analysis (ML) under the AIC criterion.

The trees were generated using the best fitted model for Maximum Likelihood with 1000 bootstrap repetitions in MEGA [ 36].