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We searched for enrichments in GO terms among PARP3-bound genes using the DAVID analysis tools [24].
Therefore, Functional Annotation Clustering of genes present in each gene expression cluster was also performed using the DAVID analysis system.
Gene Ontology Terms Associated with Genes Regulated by Neurog2ERT2 after 4 hr of OHT Treatment Analysis was performed using the DAVID analysis tool.
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We used the DAVID analysis tool [ 57] to determine which gene ontology classes were over-represented in identified clusters.
We used the DAVID analysis tools default settings to select the annotation categories that were examined in this analysis as well as the stringency levels utilized by the analysis tools.
To characterize the nature of Rbf1 direct targets, we performed GO analysis on genes associated with the greatest confidence peaks using the DAVID annotation analysis system (Huang da et al. 2009).
Further classification of cluster 1 using the DAVID Pathway Analysis software [ 19, 20] identified enrichment for factors in the toll-like receptor (TLR) pathway.
Functional annotation and clustering of significantly altered genes in either the MCF7 or MDA-MB-231 cell lines were analyzed using the DAVID Functional Analysis Tool (Fig. 1c, d) [ 35, 36].
Gene ontology (GO) analyses were performed using the DAVID functional analysis tool to identify GO terms as well as pathways and keywords that were significantly over-represented (p < 0.05; Benjamini correction for multiple testing) in specific gene expression clusters [ 9, 10].
Pathway analysis was performed using the DAVID KEGG pathway analysis tool and the ROCK pathway analysis tool [ 17- 20].
The reasons for this are not clear but are likely due to differences in inherent methodologies and significance thresholds (the high stringency option was used in the DAVID analysis).
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