Sentence examples for using the binomial test from inspiring English sources

Each list was then compared to the reference list using the binomial test [35] for each molecular function, biological process, or pathway term in PANTHER.

Each list is compared to the reference list (NCBI M. Musculus genes) using the binomial test for each biological process term.

We tested whether significantly more subjects turned their head to one side than expected by chance, using the Binomial test (e.g. [13], [27]).

We then again tested whether significantly more subjects turned their head to one side than expected by chance, using the Binomial test.

Over- or under-representation of the GO terms was statistically determined using the binomial test and p-values corrected for multiple testing using the Bonferroni method in the PANTHER system.

Molecular functions, biological processes and biological pathways over-represented by "signature" genes of the TAA were identified and the statistical significance of the over-representation was quantified by a random overlapping p value using the binomial test with all the genes represented by the Applied Biosystems Human Genome Survey Microarray as the reference list [28].

In a few cases, we used the Binomial test (http://home.clara.net/sisa/binomial.htm).htm

With each data set, UCSF and MDA, we used the binomial test to evaluate the probability that more genes than expected by chance had min P ≤ 0.05 (31).

We also used the binomial test to determine if the proportion of patients who required invasive mechanical ventilation or died among vaccinated and unvaccinated cases differed significantly.

In spite of this, for the sake of a more thorough assessment, we also used the binomial test and Wilcoxon's test that do not depend on any assumptions about the form of the underlying distributions.

To statistically assess the temporal pattern of the genetic lesions, we use the binomial test to assess significance by assuming that the number of in-degree and out-degree of each alteration are randomly distributed.