Sentence examples for single likelihood from inspiring English sources

In the case of GMM-UBM modelling, likelihood ratio calculation is performed at the frame level initially with each frame of the offender recording producing a single likelihood ratio.

These models were single likelihood ancestor counting (SLAC) and fixed effects likelihood (FEL) [18].

The results of the Dn/Ds ratio calculation were confirmed applying the single likelihood ancestor counting (SLAC) method.

The first counting method was the single likelihood ancestor counting (SLAC) analysis implemented in the program DATAMONKEY [83].

SNPMStat v 3.0 simultaneously fits a model of association and imputes genotypes by integrating inference of missing genotypes and estimation of odds ratio into a single likelihood framework.

Among the site-specific methods, the single likelihood ancestor counting (SLAC) method identified two positively selected codons (Table 4), but the Suzuki-Gojobori counting method identified none.

Four different approaches were used to identify codons under selection: single-likelihood ancestor counting (SLAC), fixed-effects likelihood (FEL), internal fixed effects likelihood (IFEL) and relaxed-effects likelihood (REL) methods [68], [93].

Selective pressures on each codon were evaluated using the difference between nonsynonymous (dN) and synonymous (dS) substitution rates per codon using the single-likelihood ancestor counting (SLAC), fixed-effects likelihood (FEL) and internal branches fixed-effects likelihood (IFEL) methods implemented in the HYPHY version 2.0 package [40].

These analyses used: i) a conservative single-likelihood ancestor-counting (SLAC) method, which is related to that of Suzuki Gojobori [60] and ii) a fixed-effects likelihood (FEL) method that was used to directly estimate non-synonymous and synonymous substitution rates at each site (this method is more appropriate for data sets with a moderate number of sequences) [58].

This was performed by using the Single-likelihood Ancestor Counting (SLAC) method implemented by the Datamonkey web server (www.datamonkey.org).org

The ω estimation was carried out using Single-Likelihood Ancestor Counting (SLAC, [ 55]) method implemented in Datamonkey webserver [ 56].