Sentence examples for by fitting a normal from inspiring English sources

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The P-value of p63 binding site enrichment in clustered enhancers was determined by fitting a normal distribution to the overlap percentages for the shuffled regions (which were normally distributed, Shapiro Wilks P-value = 0.52) and determining the area under the cumulative probability curve to the right of the actual overlap percentage.

A list of sources used to create the network and the number of interactions from each source in the network appears in File S1. jActiveModules was applied using Cytoscape [81] to the p-values computed for each case by fitting a normal distribution to the gene expression levels in the controls.

In the RMA algorithm implemented in AgiMicroRna, the signal can be first background corrected by fitting a normal + exponential convolution model to the vector of observed intensities [ 18].

The null distribution of the log2-transformed probe set-specific expression is estimated by fitting a normal mixed model where the subject effect is random.

The results are shown in Fig. 4C and D. The diffusion coefficient of U, obtained by fitting a normal distribution, is 5.6 cm/s; using the difference-method, a value of 4.2 cm/s was calculated.

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We estimated the parameters of a parametric approximation of the null distribution of the statistic by fitting a skew normal distribution to results obtained from 1000 random permutations of case/control labels.

Cutoffs for significant localization changes were determined by fitting a "background" normal Gaussian model and a uniform "outlier" density model to the z-LOC score distribution.

To determine the amount of visual displacement that corresponded to a point of subjective stationarity (PSS), we estimated the 50% point (the point of subjective equality) by fitting a cumulative normal-distribution function to each individual's data using a maximum likelihood curve fitting technique.

This is illustrated in Figure  10c, where a synthetic population of 5000 individuals was generated using the method of the 2nd case study, and the growing percentage of missing answers (x-axis) was replaced using different imputation strategies (average, fitting a normal distribution, replacing by a constant).

The following three t-statistics were computed for each gene in g: (2) (3) (4) Finally, the DE measurement contrasts in (2, 3, 4) were processed by fitting a two-component normal mixture model and posterior probabilities of belonging to the non-null component were used to identify DE genes with an estimated experiment-wise false discovery rate of < 1% as described by McLachlan et al. [ 21].

We also conducted the likelihood ratio test for testing the hypothesis H0: δ = 0 by fitting a probit log-normal model; chi-square test statistic, x 2 (df = 1) = 10, p-value < 0.005 indicating significance of the skewness parameter.

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