Open Access Research article

An improved empirical bayes approach to estimating differential gene expression in microarray time-course data: BETR (Bayesian Estimation of Temporal Regulation)

Martin J Aryee1, José A Gutiérrez-Pabello2, Igor Kramnik2, Tapabrata Maiti3 and John Quackenbush14*

Author Affiliations

1 Department of Biostatistics, Harvard School of Public Health, 655 Huntington Avenue, Boston, Massachusetts 02115, USA

2 Department of Immunology and Infectious Diseases, Harvard School of Public Health, 655 Huntington Avenue, Boston, Massachusetts 02115, USA

3 Department of Statistics and Probability, Michigan State University, East Lansing, Massachusetts 48824, USA

4 Department of Biostatistics and Computational Biology and Department of Cancer Biology, Dana-Farber Cancer Institute, 44 Binney St, Boston, Massachusetts 02115, USA

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BMC Bioinformatics 2009, 10:409  doi:10.1186/1471-2105-10-409

Published: 10 December 2009

Additional files

Additional file 1:

Supplementary methods and tables. This file includes additional information on the methods used and supplemental tables supporting the results presented in the paper.

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