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We used a binomial distribution to identify the methylcytosines, and 1 % of false discovery rate (FDR) was used to correct it.
For data sets with replicate samples, edgeR performs a generalized linear model using a negative binomial distribution to identify DE genes.
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We calculated the percentage of women with an identified risk factor and used the binomial distribution to calculate 95% confidence intervals for these prevalence's.
For many other efficient codes, we have to fit the parameters of a model (e.g., the binomial distribution) to the distribution of gaps in the index.
We can use the binomial distribution to solve the problem.
Frequency distribution was compared to binomial distribution to evidence the phase separation and atom clustering.
We have devoted two lines in Table 9 to the binomial distribution to illustrate its inaccuracy.
It uses a negative binomial distribution to model total variation.
We used normal approximation of binomial distribution to construct confidence intervals (CI) for each indicator.
Finally, we used a negative binomial distribution to estimate the statistical significance of the peaks.
3) Add the capability to use both Gaussian and Binomial distributions to represent the component distributions.
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