Sentence examples for based on hypergeometric testing from inspiring English sources

Each significant group of miRNAs was called a miRNA module candidate; finally, we predicted miRNA modules based on hypergeometric testing.

Based on hypergeometric testing using the 28 known apo genes in zebrafish (obtained from www.ensembl.org), the elevated number of apo genes at 8 hpf as well as at 32 hpf is significant (P < 0.001).

Subsequently, pathways and GO (gene ontology) terms that are associated with queried proteins are listed with corresponding P-values calculated based on hypergeometric test to show those ones in which the queried proteins are enriched.

All the enrichment analyses are based on hypergeometric tests with the Benjamini Hochberg approach [28] for multiple testing correction.

Namely, two ADRs were similar when the pathways that were associated with the two ADRs significantly overlapped based on hypergeometric test (P ≤ 0.01).

KEGG analysis was performed to find enriched pathways using Gene Set Analysis Toolkit V2 (http://bioinfo.vanderbilt.edu/webgestalt/), which is based on hypergeometric tests.

Based on hypergeometric tests, this overlap was significant for the neuron development group, but not for the other two (P = 0.0310, 0.314, 0.708 respectively).

Functional enrichment based on hypergeometric test in the set of expanded gene families in Ascomycete and Basidiomycete trunk pathogens, and B. cinerea.

For S. cerevisiae, 131 modules were found to match S. pombe modules, with a reciprocal p-value < 0.05 (based on hypergeometric test and corrected for multiple hypothesis testing, see Methods).

Our statistical computations based on hypergeometric test indicate that the likelihood of pathogenic identification of a strain increases dramatically with increasing numbers of the circuit genes expressed in the strain's genome.

Another previous work is a statistical argument based on hypergeometric tests, as in Ref. [ 23], but it also requires a specific external threshold and additional corrections to fit the data to biological reality.