Sentence examples for using the gostat software from inspiring English sources

Gene Ontology (GO) annotations were analyzed using the GOstat software [ 9, 10] and with the Panther Protein Classification System [ 11] to identify functional annotations that were significantly enriched in this gene set compared to the entire human genome.

We analyzed the Gene Ontology (GO) annotation of the 3478 genes identified with the AB Microarray using the GOstat software [ 9] and identified functional annotations that were significantly enriched in this gene set compared to the entire human genome.

Moreover, to explore the biological aspects of the significant genes, we analysed the associated Gene Ontology (GO) [ 16] terms using the GOstat software [ 17], which generates statistics of which annotations are overrepresented in a given list of genes.

We performed a gene ontology analysis using the GOstat software in order to find statistically over-represented GO terms within groups of genes included in CNAs evidenced by aCGH.

Using the GOstat software (Beissbarth and Speed, 2004), for each cluster, we obtained the significance (P-value) of each GO term present in GO slims, which is the cut-down version of the whole GO.

To analyze which ontology classes were over- and under-represented among the genes contained in gain and loss regions detected by aCGH in both biopsies and cancer stem-like cells, we used the GOstat software [ 27].

GO enrichments for biological process ontology were calculated using the GOStats package under R statistical software.

The GO enrichment analysis [ 40, 41] was performed using the GOstats package [ 136] in the R software [ 114], correcting for multiple comparisons via the Benjamini-Hochberg method [ 135].

We calculated GO term enrichments using the GOstats package [46].

Analysis was carried out using the GoStats package, Bioconductor.

The enrichment analysis was conducted using the GOstats package in R (Falcon and Gentleman, 2007).