Sentence examples for used the hypergeometric probability from inspiring English sources

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.

This is done by using the hypergeometric probability density function.

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

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

Since many of the spheroids contained GFP+ and non-GFP+ cells, that may have formed by PRP adhesion or spheroid fusion, we performed a statistical analysis using the hypergeometric probability model to determine the probability that the GFP+ cells within a spheroid were descended from a single progenitor (Ross, 2010).

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.

Applying the AmiGo gene ontology classification database v1.8 (Ashburner et al., 2000; Carbon et al., 2009), an enrichment was detected in genes associated with the accession term "cell motility" (GO 0048870) within this population of genes compared to all β4-upregulated genes using the hypergeometric probability (p = 0.048).

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].

We used the hypergeometric distribution to evaluate the probability (p-value) of randomly observing the enrichment or depletion for each GOSlim term [43].