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In this sense, data from pathway analysis could have implication on future aspects of understanding disease processes and could help to develop methodologies for assessing the outcome of pathway damage from sample to sample eventually determining which set of genes could be candidate targets to be screened and identified for diagnosis, treatment and even disease prevention.
Consequently, it is to be expected that the choice of a particular pathway database affects the outcome of pathway enrichment analyses [ 18].
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Moreover, the information of up- and down-regulation of those genes as well as their positions in the pathways can provide indication of the positive or negative outcome of the pathway [34], [35], which is instrumental to estimate the impact exerted by the differentially expressed genes on the pathway.
The outcome of the pathway statistics in PathVisio is a list of significantly changed pathways.
This assay, a measure of chromosome loss in a physiological sense, gives a robust measure of the key downstream mitotic outcome of the pathway under investigation.
Transcriptional changes are a direct outcome of Notch pathway activity, and hence provide an important insight into the regulatory mechanisms (Bray, 2006).
Jab1 lies at the intersection of several signaling pathways that are believed to be important in breast cancer cells and may be a decisive influence on the outcome of specific pathway alterations and their cumulative effects on progression.
While the functional outcome of this pathway may be both protective and destructive in tumor cells, the protective effects of the proteotoxic stress response can be pharmacologically blocked to promote tumor cell death.
Although this tool is not a model refinement tool per se, the outcome of the pathway optimization can ultimately lead to provisional addition of compounds to the metabolic model and subsequent searches (independently from the tool) for the corresponding genes to provide genomic evidence for the pathway.
The rise of the social determinants of health (SDH) discourse on the basis of statistical evidence that correlates ill health to SDH and pictures causal pathways in comprehensive theoretical frameworks led to widespread awareness that health and health disparities are the outcome of complex pathways of interconnecting SDH.
The rise of the SDH discourse on the basis of statistical evidence that correlates ill health to SDH and attempts to picture causal pathways in comprehensive theoretical models led to widespread awareness that health and health disparities are the outcome of complex pathways of interconnecting SDH.
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