Sentence examples for binomial sampling in the from inspiring English sources
Besides quantifying the effect of platform-related noise, it is important to consider the expected variability caused by binomial sampling in the bulking process.
The present problem therefore differs from those dealt with by standard binomial sampling in which there can be no possibility of multiple ties.
We did not observe any differences in the results generated by the binomial sampling vs. the pseudosampling under neutral or selective cases.
For each simulation, given a fixed population size and selection coefficient, we sampled allele frequencies at each generation using the binomial sampling probabilities in Equation 1.
As in the single-species case, we assumed no observation error in the Nj and individual negative binomial sampling distributions for the consumption rates Fj.
We model the evolutionary dynamics of mitochondrial mutations in the cytoplasm of a single cell by a Wright Fisher process (Wright, 1931), in which the number of mitochondria in a subsequent generation is a binomial sample of the mitochondria in the previous generation.
However, Bayesian, computer-intensive methods place few restrictions on model structure, allowing us to apply a negative binomial sampling distribution to estimate the over-dispersion in the data and thus quantify parameter uncertainty rigorously and comprehensively for the multi-species case.
The binomial sample size was the number of RILs in which the tag was present and the SNP was not missing or heterozygous.
In this hidden Markov model, the observed mutant frequencies are obtained through binomial sampling from a population in which the mutant frequency evolves according to the Wright Fisher process.
As we used full CDS, we omitted the binomial sampling that was included in Serres-Giardi et al. (2012) to take into account the fact that EST data can correspond to partial CDS.
We considered a GO term to be significantly overrepresented if the observed sample has more genes in the given term than 5% of 500 simulated data sets, and less than 5% probability of occurring by chance in the binomial sampling test.
