Sentence examples for binomial FDRs were used from inspiring English sources

The -log10 Binomial FDRs were used to generate the heatmap of the function annotation terms, where black denotes no significant terms found by the above criteria.

To identify methylcytosines, we used binomial distribution and then 1 % false discovery rate (FDR) was used to correct the P-value.

We used a binomial distribution to identify the methylcytosines, and 1 % of false discovery rate (FDR) was used to correct it.

Second, Fisher-Discriminant Ratio (FDR) is used to reveal distinctive feature(s).

The false discovery rate (FDR) was used to correct the multiple comparisons.

Exact binomial CIs were used.

Binomial distributions were used to estimate variances for rates.

Binomial exact 95% confidence intervals were used where noted.

Logistic regression models were used to compare binomial proportions.

These values were used to generate a binomial matrix.

A binomial exact test (FDR 0.5%) was used to determine significant cis-effects, based on allelic imbalance in the hybrids, and the extent of cis-effects was quantified as: cis = log2(P1/ P2).