Sentence examples for using the hypergeometric probability from inspiring English sources

This is done by using the hypergeometric probability density function.

Using the hypergeometric probability distribution, pro b m i f is given by the following formula.

The probability of each overlapping was determined using the hypergeometric probability formula.

The significance of overlaps in gene expression changes in various models was compared using the hypergeometric probability test http://www.geneprof.org/GeneProf/tools/hypergeometric.jsp.

Gene ontology (GO) analysis was done using the NIA Mouse Gene Index software, which evaluates statistical significance using the hypergeometric probability distribution with parameters: FDR = 0.05, over-representation ratio > 1.5 fold [ 54- 56].

The calculated p-value, which measures the significance of deviation from the null hypothesis that the gene is not differentially expressed, is computed exactly by using the hypergeometric probability of observed or more extreme differences while keeping the marginal sums in the contingency table unchanged.

We used a gene-set enrichment analysis (GSEA) to evaluate pathways associated with RANK or RANKL expression using the hypergeometric probabilities as published previously [ 19].

As many conserved domains have generally more than a single structural representative in the SCOP database, we used the hypergeometric probability function to determine, whether a given set of structures associated with a conserved domain was significantly overrepresented.

Using the hypergeometric exact probability formula for two-stage analyses, the results enabled rejection of the null hypothesis and supported conclusion that the population was free from disease at the minimum expected prevalence of 20% at the 95.53% and 99.46% confidence levels, for the randomised and targeted surveys, respectively.

The P-value is calculated using the hypergeometric distribution as the probability of x or more out of n genes having a given annotation, given that X of N (equal the total number of genes) have that annotation in the genome in general.

The p-value was calculated using the hypergeometric distribution as the probability of n or more out of m genes having a specific GO Slim term, given that N out of M genes have that GO slim term in the whole genome.