[PDF.70se] Learning and Inference in Computational Systems Biology (Computational Molecular Biology)

Learning and Inference in Computational Systems Biology (Computational Molecular Biology)

[PDF.ig51] Learning and Inference in Computational Systems Biology (Computational Molecular Biology)

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 | #2523129 in Books |  2009-12-04 | Original language:English | PDF # 1 |  9.00 x.62 x7.00l,1.65 | File type: PDF | 376 pages

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||About the Author||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 Dep

Computational systems biology unifies the mechanistic approach of systems biology with the data-driven approach of computational biology. Computational systems biology aims to develop algorithms that uncover the structure and parameterization of the underlying mechanistic model--in other words, to answer specific questions about the underlying mechanisms of a biological system--in a process that can be thought of as learning or inference. This volume offers state-of-t...

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