Open Access Highly Accessed Research article

Unsupervised Bayesian linear unmixing of gene expression microarrays

Cécile Bazot1*, Nicolas Dobigeon1*, Jean-Yves Tourneret1, Aimee K Zaas2, Geoffrey S Ginsburg2 and Alfred O Hero III3

Author Affiliations

1 University of Toulouse, IRIT/INP-ENSEEIHT, 2 rue Camichel, 31071 Toulouse cedex 7, BP 7122, France

2 Department of Medicine and Institute for Genome Sciences and Policy, Duke University, Durham, North Carolina, USA

3 Center for Computational Biology and Bioinformatics and EECS Department, University of Michigan, 1301 Beal Avenue, Ann Arbor, MI, 48109-2122, USA

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BMC Bioinformatics 2013, 14:99  doi:10.1186/1471-2105-14-99

Published: 19 March 2013

Additional files

Additional file 1:

Supplementary materials on algorithm details and performance validation. Directed acyclic graph (DAG) of the model and flowchart of the proposed algorithm are provided in this additional file. More results on synthetic datasets are also presented to validate the proposed Bayesian algorithm, including a convergence diagnosis.

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