Sentence examples for fixed likelihood from inspiring English sources

In the eruption levels of the multi-foundation system the hazard is defined according to the spatial extent of hazardous areas (similar to a hazard map), which could be determined using a fixed likelihood.

SI: self-incompatibility; dN: non-synonymous substitution; dS synonymous substitution; REL: random effects likelihood; FEL: fixed effects likelihood; LRT: likelihood ratio test; HPD: highest posterior density; MCMC: Markov Chain Monte Carlo TP carried out study design, sequence alignment, statistical and genetic analyses, manuscript preparation and editing.

To further infer the types of selection pressure acting on individual genes of VWMPCPLIRMat, MSV-VW and MSV-MatA, we used the random effects likelihood (REL), fixed effects likelihood (FEL), internal fixed effects likelihood (IFEL), and single-likelihood ancestor counting (SLAC) methods implemented in the web-server Datamonkey (http: http://www.datamonkey.org) [ 57, 58].

We next measured the selection pressures acting on these lineages through the mean number of nonsynonymous (dN) to synonymous (dS) nucleotide substitutions per site using the single-likelihood ancestor counting, fixed effects likelihood, and random effects likelihood methods available in the Datamonkey HyPhy package as described (10 ).

To identify site-specific selection we used a single likelihood ancestral counting (SLAC), fixed effects likelihood (FEL) and random effects likelihood (REL) model implemented in the HyPhy (www.hyphy.org) software package [44] and Datamonkey web-interface [45].

Datamonkey includes three methods for detecting sites under selection: single likelihood ancestor counting (SLAC), fixed effects likelihood (FEL) and random effects likelihood (REL).

Additionally, we tested for selection among sites using Datamonkey online interface http://www.datamonkey.org which includes three methods [single likelihood ancestor counting (SLAC), fixed effects likelihood (FEL) and random effects likelihood (REL)] for detecting sites under selection.

To identify codon sites under positive (adaptive) or negative (purifying) selection, we used the single-likelihood ancestor counting, the fixed effects likelihood and the random effects likelihood methods.

Using the Datamonkey web server (21, 22 ), we used 3 methods to detect site specific nonneutral selection: single-likelihood counting (SLAC), fixed effects likelihood (FEL), and internal FEL IFELL) (23, 24 ).

With the use of Datamonkey, 17 and 13 codons were detected by fixed effects likelihood (FEL) and random effects likelihood (REL), respectively, whereas no site was detected by single likelihood ancestor counting (SLAC).

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