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A Probabilistic Approach for Automated Discovery of Biomarkers using Expression Data from microarray or RNASeq datasets

Posted on:2017-08-20Degree:Ph.DType:Dissertation
University:University of CincinnatiCandidate:Sundaramurthy, GopinathFull Text:PDF
GTID:1468390014963192Subject:Bioinformatics
Abstract/Summary:
The response to perturbations in cellular systems is governed by a large number of molecular circuits that coalesce into a complex network. In complex diseases, the breakdown of cellular components is brought about by multiple molecular and environmental perturbations. While individual signatures of cellular components might vary significantly among clinical patients, commonality in signs and symptoms of disease progression is a compelling indicator that key cellular sub-processes follow similar trajectories? -. Our approach aims for an enhanced understanding of the effect of disease perturbations on the cell by developing an automated platform that assigns more significance to changes that occur at the sub-network level &...
Keywords/Search Tags:Cellular
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