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Next, GO analysis using the DAVID database was performed to analyze 63 (8 + 26 + 29) genes found only in patients with IBD in terms of biological processes, molecular functions, and cellular components (Fig. 3).
Functional clustering was performed using the DAVID database.
The pathways over-represented in each gene set were analyzed by KEGG analysis and Gene Ontology using the David database system.
Statistical significance of Gene Ontology overrepresentation were determined by hypergeometric distribution using the DAVID database [16] and Ingenuity Pathway Analysis [17].
We submitted the 1011 differentially expressed genes into gene ontology (GO) groups using the DAVID database (http://david.abcc.ncifcrf.gov) for cluster analysis according to Gene Ontology (GO) terms with medium or high classification stringency.
We performed an enrichment analysis of target gene lists predicted for all significantly deregulated miRNAs using the DAVID (Database for Annotation, Visualization and Interrogated Discovery) bioinformatics database [22], [23].
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To identify families of genes that might have significant roles related to specific biological or molecular processes, we used the DAVID database to annotate the 6124 probes and categorize them by function.
We use the DAVID database [ 17] for the GO term enrichment analysis.
In order to annotate genes to biological processes and molecular functions we used the DAVID database (based on the GO annotation) [ 55].
To analyse the landscape of the most enriched protein classes with known and predicted lynchpins, we used the DAVID database (41).
We thus used the DAVID database (Dennis et al. 2003) (http://niaid.abcc.ncifcrf.gov/) to interrogate the set of vertex neighbors for enrichment of functional categories.
More suggestions(15)
using the Oncomine database
using the david web
using the david analysis
using the david data
using the david program
using the MicrobesOnline database
using the Aria database
using the david interface
using the david platform
using the david website
using the Cassandra database
using the david software
using the PostgreSQL database
using the Webribo database
using the Mascot database
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