A mixture model to detect edges in sparse co-expression graphs with an application for comparing breast cancer subtypes

Open Access

Peer-reviewed

Research Article

About the Authors

Haim Bar

Roles Conceptualization, Formal analysis, Methodology, Project administration, Software, Writing – original draft

Affiliation Department of Statistics, University of Connecticut, Storrs, CT, United States of America

Seojin Bang

Roles Formal analysis, Methodology, Software, Writing – original draft

Affiliation Computational Biology Department, Carnegie Mellon University, Pittsburgh, PA, United States of America

The authors have declared that no competing interests exist.

Graphs
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Gene regulatory networks
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Breast cancer
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Algorithms
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Covariance
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Genetic networks
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Metabolic pathways
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Normal distribution
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