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Elements of Computational Systems Biology

Description
This comprehensive reference presents cutting-edge and long-ranging research in computational systems biology. It is written by leading experts and covers a range of topics from modeling and learning biological systems to the impact of computational systems biology on drug design and medicine. Chapters provide a multidisciplinary approach and range from analysis, modeling, prediction, reasoning, inference, and exploration of biological systems to the applications of computational systems biology. These chapters target topics and solutions in computer science, mathematics, physics, biology, and the pharmaceutical and biomedical areas.
About the Author
HUMA M. LODHI, PhD, MBCS, is a researcher with the Department of Computing, Imperial College London. She has studied at Royal Holloway, University of London and has previously worked as a researcher with the Department of Computer Science, University of Sheffield.

STEPHEN H. MUGGLETON, PhD, FAAAI, is a Professor of Machine Learning, Department of Computing, Imperial College London, and is the Director of Modeling, BBSRC Centre for Integrative Systems Biology, Imperial College London. He is a Fellow of the American Association for Artificial Intelligence and was a professor of machine learning, Department of Computing, University of York.

Both editors have published in leading international conferences and journals.