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Bioinformatics Advance Access originally published online on June 20, 2006
Bioinformatics 2006 22(19):2452; doi:10.1093/bioinformatics/btl333
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© 2006 The Author(s)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Response to comments on ‘Bayesian Hierarchical Error Model for Analysis of Gene Expression Data’

HyungJun Cho and Jae K. Lee

Department of Public Health Sciences, University of Virginia, Charlottesville VA 22908, USA
Department of Statistics, Korea University Seoul, Korea
Department of Public Health Sciences, University of Virginia Charlottesville, VA 29908, USA

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We greatly thank the authors of this letter for pointing out the significance of our original contribution of the hierarchical error model (HEM) in Cho and Lee (2004). As the authors suggested, we agree that an extension of HEM can be made for gene expression data with biological and/or experimental correlations. However, we . . . [Full Text of this Article]


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