Sentence examples for biological processes were determined from inspiring English sources

Affected biological processes were determined by identifying gene sets associated with different Gene Ontology [GO] terms.

Statistically significant over represented biological processes were determined using the hypergeometric test.

Affected biological processes were determined by using the iGA algorithm of Breitling et al [ 50].

Significantly changed biological processes were determined by the enrichment test provided by the DAVID system.

With the simultaneous use of SGTP and GTP affinity probes, 165 proteins involved in different biological processes were determined to be SGTP-binding targets.

Overrepresented Gene Ontology (GO) biological processes were determined by utilizing the web-based DAVID Bioinformatics Resources database [ 34, 35], GeneSpring and web-based GREAT (Genomic Regions Enrichment of Annotations Tool) software [ 36].

Significant overrepresentation of GO-classified biological processes was determined by comparing the number of genes in the biological process that were significantly differentially expressed in a particular mouse strain to the total number of genes relevant to that biological process printed on the array using the publicly available DAVID 2.0 software (http://david.abcc.ncifcrf.gov/).abcc.ncifcrf.gov/

Functional analysis and enrichment of biological processes was determined with the BinGO (version 3.0.2) [ 47] application in Cytoscape (version 3.1.1) [ 48].

Each biological process was determined if it was significantly over- or underrepresented (p < 0.05) by comparing the observed frequency of genes to the expected frequency of genes on the Affymetrix GeneChip that cover 50 547 known genes.

In each identified cluster, the GO enrichment in the GO category of the biological process was determined by using the Fisher exact test followed by the False Discovery Rate (FDR) correction.

To determine what biological processes were related to the identified targets, we extracted the unique transcripts from the previous step and submitted them to FatiGO, also part of the Babelomics v4 suite; this tool performs an overrepresentation analysis for gene ontology and pathway terms.