Multivariate variability analysis of the baseline expression dataset revealed gender, fasting, and organ section as some of the most prominent factors associated with overall transcriptional changes, although most of the seventeen factors included in the multivariate analyses appeared to be a significant source of variability in at least one of the six tissue-array datasets.
Although several physical characteristics (such as age) can increase the likelihood of an ischemic event occurring [ 1], metabolic syndrome is currently the most prominent risk factor associated with these events [ 6].
NOTCH1 is included as an often abused, prominent cell-fate transcription factor associated with both cancer stem cells and hESC [ 17– 20] and is, henceforth, termed a cell-fate determining transcription factor.
Prior exposure to antibiotics appears as one of the most prominent risk factors associated with colonization and infection of both MDR gram-positive and gram-negative organisms.
The results of the multivariate variability analyses when viewed in summary across the six tissue-array sets indicate that gender, fasting, strain, and organ section were the most reproducibly prominent biological factors associated with gene expression variance between control animals in this dataset (Table 2).
For patients with uncomplicated AKI, it has been demonstrated that dialysis therapy was one of the most prominent factors independently associated with direct hospital costs and hospital LOS [ 30].
Age is the biggest risk factor associated with cataracts.
The qualitative analysis revealed that household income, occupation, household size, poor health status of household members, and level of understanding of the concept of risk pooling were prominent demand side factors associated with enrolment.
Considering prominent non-environmental risk factors associated with asthma, 16% of children were in an intensive care unit upon birth and 10% were on a respirator.
