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We calculated GO term enrichments using the GOstats package [46].
Analysis was carried out using the GoStats package, Bioconductor.
GO enrichment analysis was performed using the GOstats package in Bioconductor, with hypergeometric distribution testing.
The enrichment analysis was conducted using the GOstats package in R (Falcon and Gentleman, 2007).
GO enrichments for biological process ontology were calculated using the GOStats package under R statistical software.
Functional analysis of the differentially expressed genes was carried out using the GOstats package in Bioconductor [ 22] based on the Gene Ontology Consortium database [ 23].
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This was accomplished using the GOHyperGAll function in Bioconductor which in turn uses the GOstats package [ 48, 53].
Then, enrichment for GO and KEGG categories was assessed using the "GOstats" R package [ 52].
Each modules gene was tested for GO enrichment [ 30] using the GOstats R package [ 57].
Enrichment of GO terms in mRNA expression clusters of differentially regulated genes and miRNA predicted targets was performed using the GOstats Bioconductor package [ 59].
The resulting clusters were analyzed for overrepresentation of GO terms using a hypergeometric test implemented using the GOstats R software package (Falcon and Gentleman 2007).
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