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A robust Bayesian two-sample test for detecting intervals of differential gene expression in microarray time series
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Stegle, Oliver, Denby, Katherine J., Cooke, Emma J., Wild, David L., Ghahramani, Zoubin and Borgwardt, Karsten M. (2010) A robust Bayesian two-sample test for detecting intervals of differential gene expression in microarray time series. Journal of Computational Biology , Volume 17 (Number 3). pp. 355-367. doi:10.1089/cmb.2009.0175 ISSN 1066-5277.
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Official URL: http://dx.doi.org/10.1089/cmb.2009.0175
Abstract
Understanding the regulatory mechanisms that are responsible for an organism's response to environmental change is an important issue in molecular biology. A first and important step towards this goal is to detect genes whose expression levels are affected by altered external conditions. A range of methods to test for differential gene expression, both in static as well as in time-course experiments, have been proposed. While these tests answer the question whether a gene is differentially expressed, they do not explicitly address the question when a gene is differentially expressed, although this information may provide insights into the course and causal structure of regulatory programs. In this article, we propose a two-sample test for identifying intervals of differential gene expression in microarray time series. Our approach is based on Gaussian process regression, can deal with arbitrary numbers of replicates, and is robust with respect to outliers. We apply our algorithm to study the response of Arabidopsis thaliana genes to an infection by a fungal pathogen using a microarray time series dataset covering 30,336 gene probes at 24 observed time points. In classification experiments, our test compares favorably with existing methods and provides additional insights into time-dependent differential expression.
Item Type: | Journal Article | ||||
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Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software Q Science > QD Chemistry T Technology > TP Chemical technology Q Science > QH Natural history > QH301 Biology Q Science > QA Mathematics |
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Life Sciences (2010- ) Faculty of Science, Engineering and Medicine > Research Centres > Warwick Systems Biology Centre |
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Library of Congress Subject Headings (LCSH): | Gene expression, Molecular biology, Gaussian processes | ||||
Journal or Publication Title: | Journal of Computational Biology | ||||
Publisher: | Mary Ann Liebert, Inc. Publishers | ||||
ISSN: | 1066-5277 | ||||
Official Date: | 8 April 2010 | ||||
Dates: |
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Volume: | Volume 17 | ||||
Number: | Number 3 | ||||
Number of Pages: | 13 | ||||
Page Range: | pp. 355-367 | ||||
DOI: | 10.1089/cmb.2009.0175 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Access rights to Published version: | Restricted or Subscription Access | ||||
Date of first compliant deposit: | 3 December 2015 | ||||
Date of first compliant Open Access: | 3 December 2015 | ||||
Funder: | Cambridge Gates Trust, University of Warwick. Molecular Organisation and Assembly in Cells, Biotechnology and Biological Sciences Research Council (Great Britain) (BBSRC), European Union (EU), National Institutes of Health (U.S.) (NIH) | ||||
Grant number: | BB/F005806/1 (BBSRC), IRG 46444 (EU), GM63208 (NIH) | ||||
Version or Related Resource: | Stegle, O., et al. (2010). A robust Bayesian two-sample test for detecting intervals of differential gene expression in microarray time series. In: Lecture notes in computer science, 5541, pp. 201-216. | ||||
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