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Learning and Inference in Computational Systems Biology (Computational Molecular Biology) - Hardcover
Synopsis
Tools and techniques for biological inference problems at scales ranging from genome-wide to pathway-specific.
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About the Authors
Neil D. Lawrence is Senior Lecturer and Member of the Machine Learning and Optimisation Research Group in the School of Computer Science at the University of Manchester.
Mark Girolami is Professor of Computing and Inferential Science in the Department of Computing Science and the Department of Statistics at the University of Glasgow.
Magnus Rattray is Senior Lecturer and Member of the Machine Learning and Optimisation Research Group in the School of Computer Science at the University of Manchester.
Guido Sanguinetti is Lecturer in Systems Biology jointly in the Department of Computer Science and Chemical Engineering at the Life Sciences Interface Institute in the Department of Chemical and Process Engineering, University of Sheffield.
Manfred Opper is a Reader at the Neural Computing Research Group, School of Engineering and Applied Science, Aston University, UK.
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Learning and Inference in Computational Systems Biology (Computational Molecular Biology)
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Learning And Inference In Computational Systems Biology (computational Molecular Biology)
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Learning And Inference In Computational Systems Biology (computational Molecular Biology)
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Learning and Inference in Computational Systems Biology
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MIT Press, Cambridge, Mass., 2010
ISBN 10: 026201386X
ISBN 13: 9780262013864
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Learning and Inference in Computational Systems Biology
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