Sentence examples for by a binomial test from inspiring English sources

For each inferred weighted edge in the network the statistical significance was estimated by a Binomial test.

The criterion (1) was set by a binomial test with ADO, qualified normal cell number, and whole-exome size to eliminate the random errors.

And the criterion (3) was set by a binomial test with FDR, qualified cancer cell number, whole-exome size to eliminate the random errors.

The statistical significance of observing b more often than can be expected by chance can therefore be assessed by a binomial test.

3' changes were much more common, with 83% (29/35) of changes at the 3' boundary (P = 5.8 × 10-5 by a binomial test for equal probabilities).

Criterion was defined as three consecutive sessions in which performance in free-choice trials was significantly greater than chance, as judged by a binomial test, for each trial type [e.g. 11].

We calculated confidence intervals associated with this value by using a binomial test and determined whether the proportion of cells with localized mRNA was statistically different from the reference population (5%).

We checked whether the proportion of H-emitting vs. E- or Z-emitting females in any given backcross significantly departed from that expected for a character determined by an autosomal locus with two alleles [22] by comparing the observed proportion with a theoretical proportion of 50∶50 by means of a binomial test.

By means of a binomial test, we obtained a Bonferroni-corrected p-value for under- or over-representation of each functional category for all Biological Processes.

The conditional probability of observing activity in a brain region given knowledge of the psychological process was then computed and compared to this baserate by means of a binomial test (p < 0.05, corrected for multiple comparisons using Bonferroni's method).

GLMs were fit to each time bin (100 ms bin size) for each cell, and the proportion of cells with significant effects of the independent variables was tested for significance (whether there were more cells with significant effects of a factor than would be expected by chance) using a binomial test, similar to the method of Schmidt et al. (2013).