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Ratios will be used in this paper to measure the ability of a mixture model fit to describe distinct states.

We discovered that a two-component Gaussian mixture model fit the data better than most other simple models.

Table 3 lists the estimated model parameters from the threshold additivity model and the mixture model fit simultaneously.

A standard measure of the quality of a mixture model fit is the likelihood, which is the product, over all points, of the maximal posterior probabilities.

Parametric bootstrapping is then used in conjunction with the mixture model fit to relate the sample size of an experiment to the operating characteristics of tests for differential expression.

However, these assumptions are not necessary and instead one can use the training data to learn the best mixture model fit for each phenotype class using for example the Bayesian Information Criterion BICC) [ 21] or a variational Bayesian framework for model selection [ 23].

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Similar(53)

This GLD mixture model (fitted using quantile matching method (Su 2010b)) now corresponds almost exactly to the survival curve (Fig. 9, (B)).

Because of a lack of appropriate reference sera a cut-off value was selected from a binormal mixture model fitted to the log-transformed optical density-values [5], and used to score wild boar positive or negative.

Using the values obtained from the mixture model fitted to the high-resolution data, we classified the clusters of data at each two-hour interval in the lower-resolution tracks.

Indeed, supplements three and four illustrate the similarities between the size distributions of ORFS described by the non-random distribution and annotated proteins by illustrating the shapes of the distributions drawn using the parameters from the mixture model fits to the ORFs and proteins listed in Table S1.

Branches within colonies were pooled for subsequent mixture model fitting.

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