<p>The known target gene list was exported from miRTarBase. The clustering analysis was performed by DAVID Functional Annotation Bioinformatics Resources v6.7. The rank is based on the Enrichment score, which represents mean p-value (in –log scale).</p
<p>The Gene Ontology cluster analysis was performed using the GO Fat database (GOTERM_BP_FAT), devel...
<p>Functional annotation clustering of differentially methylated genes found in multiple versus soli...
<p>Functional annotation was carried out using the Swiss-Prot and Protein Information Resource Keywo...
<p>The clustering analysis was performed by DAVID Functional Annotation Bioinformatics Resources v6....
<p>Functional annotations were performed using DAVID (count cutoff 10, EASE 0.01) to analyze predict...
1<p>Enrichment scores indicate relative importance (enrichment) of the biological annotations.</p>2<...
<p>The Gene Ontology cluster analysis was performed using the GO Fat database (GOTERM_BP_FAT), devel...
<p>Functional annotation clustering of genes in regions with high accumulation of putative modern RO...
<p>The discovered gene groups were ranked according to the EASE enrichment score, which is the minus...
miRNAs are important regulators of gene expression that play a key role in many biological processes...
<p>Functional annotation clusters in the up-regulated genes (analyzed with the DAVID 6.7 BETA bioinf...
<p>Functional annotation clusters in the down-regulated genes (analyzed with the DAVID 6.7 BETA bioi...
<p>*The cluster number was obtained when the analysis was run with the whole gene set, including up-...
<p>Major functional annotation clusters (top 10 annotation clusters based on z-score) of genes that ...
<p>Genes that exhibited more than 2-fold expression changes were analyzed with the Functional Annota...
<p>The Gene Ontology cluster analysis was performed using the GO Fat database (GOTERM_BP_FAT), devel...
<p>Functional annotation clustering of differentially methylated genes found in multiple versus soli...
<p>Functional annotation was carried out using the Swiss-Prot and Protein Information Resource Keywo...
<p>The clustering analysis was performed by DAVID Functional Annotation Bioinformatics Resources v6....
<p>Functional annotations were performed using DAVID (count cutoff 10, EASE 0.01) to analyze predict...
1<p>Enrichment scores indicate relative importance (enrichment) of the biological annotations.</p>2<...
<p>The Gene Ontology cluster analysis was performed using the GO Fat database (GOTERM_BP_FAT), devel...
<p>Functional annotation clustering of genes in regions with high accumulation of putative modern RO...
<p>The discovered gene groups were ranked according to the EASE enrichment score, which is the minus...
miRNAs are important regulators of gene expression that play a key role in many biological processes...
<p>Functional annotation clusters in the up-regulated genes (analyzed with the DAVID 6.7 BETA bioinf...
<p>Functional annotation clusters in the down-regulated genes (analyzed with the DAVID 6.7 BETA bioi...
<p>*The cluster number was obtained when the analysis was run with the whole gene set, including up-...
<p>Major functional annotation clusters (top 10 annotation clusters based on z-score) of genes that ...
<p>Genes that exhibited more than 2-fold expression changes were analyzed with the Functional Annota...
<p>The Gene Ontology cluster analysis was performed using the GO Fat database (GOTERM_BP_FAT), devel...
<p>Functional annotation clustering of differentially methylated genes found in multiple versus soli...
<p>Functional annotation was carried out using the Swiss-Prot and Protein Information Resource Keywo...
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