Sentence examples for major temporal groups from inspiring English sources

This analysis revealed that certain significant pathways identified were unique to the gene expressions comprising only one of the three major temporal groups.

Another more focused method of analysis was performed on the gene expression data of the three major temporal groups (increased, variable, and decreased expression).

More similarities exist with our results of significant biological pathways identified (from KEGG and GenMAPP databases) for each of the three major temporal groups (Table 1) when compared to pathways identified (by KEGG database) for the three major temporal groups in Bais et al.[20].[20]

For all three of the major temporal groups and therefore during all time points of intramembranous bone regeneration following marrow ablation, certain biological processes comprise large percentages out of the total biological functions identified.

Each cluster identified by CAGED analysis was assigned to one of the three major temporal groups according to increased, variable, or decreased expression, which were then further analyzed with DAVID EASE (version 2.0 [26] software to identify significant gene ontology categories or biological pathways.

As opposed to significant pathways identified to be associated with the three major temporal groups based on clustering of all significant genes, significant (p<0.05) biological pathways were also identified by analyzing the expression of significant genes at each time point following bone marrow ablation.

Differential biological processes and pathways associated with each major temporal group were identified, and significantly expressed genes involved were visually represented by heat maps.

DAVID EASE was also used to analyze the gene sets for each major temporal group (increased, variable, decreased expression) to find significant known pathways determined by KEGG[28] and GenMAPP[29] databases, using a significance threshold of p<0.05.

All individual biological ontology results were manually examined for related or overlapping functions in order for consolidation into overall major categories of biological process and this detailed information is summarized and shown for each major temporal group in Table S2A-D.

A Bayesian model-based clustering method was used to determine major temporal expression groups based on gene expression profiles.

Interestingly, many commonalities can be seen when comparing gene ontology/biological process analysis of the three major temporal expression groups (up, variable, and down) from Bais et al. with the results presented here.