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To gain a better insight on the biological processes, cellular components and molecular functions that are affected by the differentially expressed genes, we performed a functional analysis by using the DAVID toolbox (see Methods) [ 35, 36].
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A gene ontology (GO) analysis was performed using the DAVID website.
Using the DAVID functional annotation clustering tool, the up- and down-regulated genes can be categorized into 176 and 146 overlapping functional gene clusters, respectively.
Differentially expressed genes were categorized in GeneOntology groups using the DAVID tool (http://david.abcc.ncifcrf.gov/).abcc.ncifcrf.gov/
Functional clustering was performed using the DAVID database.
We analyzed the 1,817 genes that were hypermethylated only in RL cells using the DAVID interface (http://david.abcc.ncifcrf.gov/).abcc.ncifcrf.gov/
Functional annotation and enrichment analyses were done using the DAVID platform version 6.7 (http://david.abcc.ncifcrf.gov/home.jsp) [36], [37].
KEGG pathway enrichment analysis was performed using the DAVID web server (http://david.abcc.ncifcrf.gov/home.jsp).jsp
Functional classification of differentially expressed proteins was performed using the DAVID software (http://david.abcc.ncifcrf.gov/).abcc.ncifcrf.gov/
UniGene gene identifiers were converted to DAVID identifiers using the DAVID Gene ID conversion tool.
The Refseq identifiers were converted to DAVID identifiers (IDs), using the DAVID knowledgebase [ 59].
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