Gaussian Process Inference for Differential Equation Models of Transcriptional Regulation

[edit]

Neil D. Lawrence, University of Sheffield
Magnus Rattray, University of Manchester
Antti Honkela, University of Helsinki
Michalis K. Titsias, University of Athens

Chapter 19 in Handbook of Statistical Systems Biology, pp 376-394

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Abstract


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  title = 	 {Gaussian Process Inference for Differential Equation Models of Transcriptional Regulation},
  author = 	 {Neil D. Lawrence and Magnus Rattray and Antti Honkela and Michalis K. Titsias},
  booktitle = 	 {Handbook of Statistical Systems Biology},
  pages = 	 {376},
  year = 	 {2011},
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  publisher = 	 {John Wiley and Sons},
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  key = 	 {Lawrence:gpinference11},
  chapter = 	 {19},
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%A Neil D. Lawrence and Magnus Rattray and Antti Honkela and Michalis K. Titsias
%B 
%C Handbook of Statistical Systems Biology
%D 
%E Michael P. H. Stumpf and David J. Balding and Mark Girolami
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TI  - Gaussian Process Inference for Differential Equation Models of Transcriptional Regulation
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AU  - Magnus Rattray
AU  - Antti Honkela
AU  - Michalis K. Titsias
BT  - Handbook of Statistical Systems Biology
PY  - 2011/01/01
DA  - 2011/01/01
ED  - Michael P. H. Stumpf
ED  - David J. Balding
ED  - Mark Girolami	
ID  - lawrence-gpinference11
PB  - John Wiley and Sons	
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DO  - 10.1002/9781119970606.ch19
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Lawrence, N.D., Rattray, M., Honkela, A. & Titsias, M.K.. (2011). Gaussian Process Inference for Differential Equation Models of Transcriptional Regulation. Handbook of Statistical Systems Biology :376-394