Many new theories in ecology are being underpinned by ideas about playfulness, instability and innovation, and how the notion of "play" has been offering new insights on animal sociability and semiotics, helping researchers move beyond units of biological analysis that were once only a haystack of genes, cells and populations.
As we have shown in the paper, this difference most certainly may have an effect on the analysis, and the kind of effect depends on the type of the analysis, i.e., on the biological question that is asked.
Ingenuity® network analysis revealed biological processes that were enriched among the 100 genes showing progressively higher or lower expression across the three time points (see Figure 2C D).
The combined trait analysis detected biological pathways that were not found using the individual trait datasets (e.g. peroxisome proliferator-activated receptor signaling pathway).
Nevertheless, this network analysis identified biological processes that are relevant to the mechanism of neuropathy induced by platinum compounds and taxanes, thus providing the basis for future studies of the genes involved in these biological processes.
To complement the single-gene analysis, the biological processes that were regulated by genes that were associated with 25(OH D in the context of MS activity were inferred.
Through pathway analysis, the biological pathways that were significantly up regulated in the TRAIN individuals after training were those primarily involved in the body's inflammatory and immune response.
GO enrichment analysis revealed biological processes that are essential in the establishment of resistance to PVY, and showed how two different PVY strains trigger a different cascade of molecular changes.
Gene ontology (GO) enrichment analysis revealed biological processes that were categorized into groups including RNA metabolic processes, differentiation and development of epidermis and ectoderm, and cell-substrate junction assembly (Table 1), findings that are in agreement with existing knowledge that pregnancy hormones promote the differentiation of mammary epithelial cells [ 3].
The BioFunctional analysis identified the biological diseases that were most significant to the data set as a whole (comparative analysis) or to the network.
