In the current study, four quadratic models are significant model terms (Table 4).
To aid this description, we have tabulated commonly referenced terms (Table 1).
Adaptation, population, speciation, mutation, common ancestor, transition form, and variation are mostly ill-used terms (Table 1).
Genes in each class were then assigned major Biological Process gene ontology (GO) terms (Table 2).
These proximal genes were annotated with the corresponding gene ontology terms (Table S3).
The 110 belt transects (55 from each season) were modeled simultaneously against 17 predictor variables, which included continuous environmental data, count data, and categorical terms (Table 1).
Oxidoreductase activity, acting on NADH or NADPH and NADH dehydrogenase activity was among the top twenty upregulated GO terms (Table S3).
These 1,445 differentially expressed genes were then categorised according to their biological process, as defined by GeneOntology terms (Table 3) (Full list available in Table S1).
This approach was chosen to exclude any income effects of HIV disease in QALY estimation since productivity costs are already included in monetary terms (Table 2).
Finally the model MMSE4, that contained interaction terms between techniques and methods, had a highly significantly better fit than the model MMSE3, without interaction terms, Table 6.
Functional annotation of the top differentially expressed genes identified cytoskeleton, focal adhesion, extracellular matrix, and cell adhesion as the top annotation terms (Table S3).
