Sentence examples for binomial probability model was from inspiring English sources

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A binomial probability model was used to evaluate whether the excess of replacement (R) mutations in CDR or their scarcity in FR was due to chance.

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An approximate confidence interval for sequence saturation is derived using a binomial probability model and is given by μ ± 2 μ 1 − μ n, where μ is a given standard methylation ratio, and n is the number of sequenced reads covering the region of interest.

This probability model is also based on the binomial theorem.

Using a conventional binomial probability model, several genes were found mutated significantly.

The empirical calculations are compared to confidence intervals based on the binomial probability model; for a standard methylation ratio of 0.5, the binomial-based confidence interval reduces to 0.5 ± 1 n.

Utilising a binomial probability model we tested whether the observed sex differences among Indian-born women were significantly different from sex differences among all births.

In order to reduce the influence of missing data, we excluded pathways whose members were not significantly detected by GPL96 platform by using the binomial probability model.

By Vuong test, zero-inflated negative binomial regression model was not significantly better than negative binomial model (z = 1.14, p = 0.128), thus negative binomial model was chosen.

Model 1: A binomial logistic regression model was used to determine associations between farm characteristics and the probability that a herd was seronegative for PRRSV antibodies.

The binomial probability parameter is modelled from a beta prior with trained hyper-parameters, conditional on the joint genotype.

The probability under the heterozygous model was calculated as the binomial probability of the observed counts assuming a probability of 0.5 for each allele.

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