Functional Network Construction in Arabidopsis Using Rule-Based Machine Learning on Large-Scale Data Sets

Reference : Functional Network Construction in Arabidopsis Using Rule-Based Machine Learning on L...


	Document type :	Scientific journals : Article
	Discipline(s) :	Life sciences : Biochemistry, biophysics & molecular biology
	To cite this reference:	http://hdl.handle.net/10993/3305

Title :	Functional Network Construction in Arabidopsis Using Rule-Based Machine Learning on Large-Scale Data Sets
Language :	English
Author, co-author :	Bassel, George W. [Division of Plant and Crop Sciences, School of Biosciences and Centre for Plant Integrative Biology, University of Nottingham, Loughborough LE12 5RD, United Kingdom]
	Glaab, Enrico [School of Computer Science, University of Nottingham, Nottingham NG8 1BB, United Kingdom]
	Marquez, Julietta [Multidisciplinary Centre for Integrative Biology, School of Biosciences, University of Nottingham, Sutton Bonington LE12 5RD, United Kingdom]
	Holdsworth, Michael J. [ASAP Research Group, School of Computer Science, Nottingham NG8 1BB, United Kingdom]
	Bacardit, Jaume [> >]
Publication date :	2011
Journal title :	Plant Cell
Publisher :	American Society of Plant Biologists
Pages :	1-17
Peer reviewed :	Yes (verified by ORBi^lu)
ISSN :	1040-4651
e-ISSN :	1532-298X
City :	Rockville
Country :	MD
Permalink :	http://hdl.handle.net/10993/3305

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Limited access	Plant Cell-2011-Bassel-3101-16.pdf		Publisher postprint	2.14 MB	Request a copy

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