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Both analyses use a hypergeometric test for a p-value computation.
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DEGs upregulated in FOS+ DG neurons were assessed for functional enrichment through DAVID bioinformatics using a hypergeometric test.
The statistical significances for the interactor overlap among disease pairs were calculated using a hypergeometric test.
Gene ontology analysis was carried out using publicly available on-line statistical package (FUNC, http://func.eva.mpg.de/) using a hypergeometric test.
GO analysis on differentially expressed genes was performed using a hypergeometric test, and corrected for multiple testing using the Benjamini-Hochberg FDR method.
We used a hypergeometric test to identify gene sets from the MSigDB [19] that are over-represented in the molecular paths detected by the EMPath method.
The statistical significances for these observations were calculated using a hypergeometric test and are shown in Figure 2 (see bars) and Table S5.
Over-represented groups of GO terms and functional domains were identified using a hypergeometric test, with a threshold of p-value<0.01.
The significance of this ratio was evaluated using a hypergeometric test to determine the likelihood of observing n1 HF-increased transcripts within a sample of n1+n2 transcripts sampled from all those evaluated on the Affymetrix 430 Mouse Genome 2.0 array.
Enrichment P-values were calculated using a hypergeometric test.
All enrichment analyses were performed using a hypergeometric test.
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