A semi-parametric Bayesian model for unsupervised differential co-expression analysis |
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| Authors: | Johannes M Freudenberg Siva Sivaganesan Michael Wagner Mario Medvedovic |
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| Affiliation: | (1) Laboratory for Statistical Genomics and Systems Biology, Department of Environmental Health, University of Cincinnati College of Medicine, 3223 Eden Ave. ML 56, Cincinnati, OH 45267-0056, USA;(2) Mathematical Sciences Department, University of Cincinnati, Cincinnati, OH 45221, USA;(3) Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio 45229, USA |
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| Abstract: | Background Differential co-expression analysis is an emerging strategy for characterizing disease related dysregulation of gene expression regulatory networks. Given pre-defined sets of biological samples, such analysis aims at identifying genes that are co-expressed in one, but not in the other set of samples. |
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