Sentence examples for likelihood of replicate from inspiring English sources

Applying (5) the likelihood of replicate r=1,2,3 is (10) where y i r, R is the vector of observed data points i=1,…, T R for variables M, P, P v for replicate r under the red light experiment, y j r, C denotes observed data points j=1,…, T C for the corresponding control experiment and g is a product of Gamma densities.

Notice that this probabilistic formulation allows for a natural incorporation of replicate information by simply multiplying the likelihoods of replicate profiles.

Each replication experiment must have high statistical power (1-ß ≥ 0.80) for observing the original effect size in order to minimize the likelihood of failing to replicate because of low power (i.e., a false negative).

For example, active Drosophila P elements may improve their likelihood of survival by replicating particular types of defective elements that negatively control the transposition rates of the active ones, thus diminishing the harmful effects on the host (reviewed in [ 14]; see also [ 15] for related examples).

We show evidence that effect size, and therefore sensitivity, has a significant impact on likelihood of local-eQTL being replicated by the cis-eQTL study.

The paralogous relationship between [GPHα] and [GPA2] paralogous gene sets and between [GPB5] and [GP-Ghost] paralogous gene sets were supported by bootstrap values (Maximum likelihood, 100 replicates) of 100 and 99, respectively.

By combining sanitary behaviours and selective removal of diseased brood, the ants successfully reduced the likelihood of the pathogen to self-replicate inside their nest.

In their experiment, however, the option of saving (and swapping on) 20 trees also enhanced the likelihood of finding still shorter trees per replicate.

We first investigated whether the among-pseudoline variance in any 1° control differed significantly from zero by comparing the likelihood of the model w* = Subline + Replicate(Subline) for each 1° ancestral control against the model w* = Replicate(Subline).

Finally, we use a data-driven approach to compare test statistics based on the empirical likelihood of observing between-group differences among replicates.

Model selection used log-likelihood from 10-fold cross-validation, the Bayesian information criterion (BIC) of the likelihood of the full data, and BIC of 100 bootstrap replicates of the full data to assess stability.