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By using a likelihood measure as indicator for the appropriateness of different distribution functions, distribution functions with low weights are eliminated.
The regression models were reduced by using a likelihood ratio test.
The statistical significance of adding the interaction terms was assessed by using a likelihood ratio test.
We assessed the significance of the difference in test performance by using a likelihood ratio test comparing models with and without covariate terms for accuracy at equivalent thresholds.
We performed ASE analysis by fitting per SNP a binomial distribution using maximum likelihood estimation and subsequently assessed significance by using a likelihood ratio test.
We mapped ASE by fitting a binomial distribution per SNP using maximum likelihood estimation and then assessed significance by using a likelihood ratio test.
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By using a likelihood-based approach described in [14], CERVUS calculates parentage inference likelihood ratios and generates a statistic, ΔLOD, defined as the difference in positive log likelihood ratios (LOD) between the top two candidate parents.
Nested models can be compared in pairs by using a likelihood-ratio test [ 87].
This is done by using a likelihood-ratio test to determine if GO terms are represented differently between the two gene sets [ 8].
This was confirmed by using a maximum likelihood amino acid model (WAG amino acid matrix) to estimate sequence distances between the C. atys and M. mulatta orthologues (Extended Data Fig. 1).
In maximum likelihood template selection, each frame of a cluster center s* as generated by the MDTS method is relabeled by a set of GMMs that are selected by using a maximum likelihood criterion, so as to make the representative better characterize the templates in each cluster.
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