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  Discovering Temporal Patterns of Differential Gene Expression in Microarray Time Series

Stegle, O., Denby, K., Wild, D., McHattie, S., Mead, A., Ghahramani, Z., et al. (2009). Discovering Temporal Patterns of Differential Gene Expression in Microarray Time Series. In I. Grosse, S. Neumann, S. Posch, F. Schreiber, & P. Stadler (Eds.), German Conference on Bioinformatics 2009 (GCB 2009) (pp. 133-142). Bonn, Germany: Gesellschaft für Informatik.

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 Creators:
Stegle, O1, 2, Author           
Denby, KJ, Author
Wild, DL, Author
McHattie, S, Author
Mead, A, Author
Ghahramani, Z, Author
Borgwardt, KM1, 2, Author           
Affiliations:
1Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              
2Former Research Group Machine Learning and Computational Biology, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_2528696              

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 Abstract: A wealth of time series of microarray measurements have become available over recent years. Several two-sample tests for detecting differential gene expression
in these time series have been defined, but they can only answer the question whether a gene is differentially expressed across the whole time series, not in which intervals it is differentially expressed. In this article, we propose a Gaussian process based approach for studying these dynamics of differential gene expression. In experiments on Arabidopsis thaliana gene expression levels, our novel technique helps us to uncover that the family of WRKY transcription factors appears to be involved in the early response to infection by a fungal pathogen.

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 Dates: 2009-09
 Publication Status: Published in print
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 Rev. Type: -
 Identifiers: BibTex Citekey: 6295
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Title: German Conference on Bioinformatics 2009 (GCB 2009)
Place of Event: Halle, Germany
Start-/End Date: 2009-09-28 - 2009-09-30

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Title: German Conference on Bioinformatics 2009 (GCB 2009)
Source Genre: Proceedings
 Creator(s):
Grosse, I, Editor
Neumann, S, Editor
Posch, S, Editor
Schreiber, F, Editor
Stadler, PF, Editor
Affiliations:
-
Publ. Info: Bonn, Germany : Gesellschaft für Informatik
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 133 - 142 Identifier: ISBN: 978-3-88579-251-2