Enrichment analysis applied to disease prognosis.
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ABSTRACT: : Enrichment analysis is well established in the field of transcriptomics, where it is used to identify relevant biological features that characterize a set of genes obtained in an experiment.This article proposes the application of enrichment analysis as a first step in a disease prognosis methodology, in particular of diseases with a strong genetic component. With this analysis the objective is to identify clinical and biological features that characterize groups of patients with a common disease, and that can be used to distinguish between groups of patients associated with disease-related events. Data mining methodologies can then be used to exploit those features, and assist medical doctors in the evaluation of the patients in respect to their predisposition for a specific event.In th
SUBMITTER: Machado CM
PROVIDER: S-EPMC4126066 | biostudies-literature | 2013 Oct
REPOSITORIES: biostudies-literature
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