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However, given the high degree of overlap between the SNAP score distributions of variable and non-variable exons, it is not possible to predict a priori whether an individual SNAP gene model is sensitive to sequence polymorphisms.
The extended compact Genetic Algorithm (EcGA) proposed in [ 10] is an algorithm in which the basic idea is to factorize the joint probability distribution as a product of marginal distributions of variable size.
Frequencies of original variables stratified by each domain for each model are shown in Additional file 1: Tables S2-S5 to illustrate the relative distributions of variable categories between domains.
The final models were selected using back-wards step-wise regression and were those that explained the most variation in wheeze prevalence, those with the smallest mean square error, and the highest value of adjusted R. Distributions of variable categories by area of residence were evaluated using the Chi-squared test.
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Subsequently, distributions of variables were examined to assess response variability and missing data.
The posterior distributions of variables are evaluated by a Metropolis-within-Gibbs sampler.
Histograms are used to show distributions of variables while bar charts are used to compare variables.
So far we have mentioned three differences between histograms and bar charts: histograms are used to show distributions of variables while bar charts are used to compare variables.
Distributions of variables were examined for skewness.
The distributions of variables were assessed for normality.
Log transformations were used when distributions of variables were skewed.
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