Synopsis
Powerful engineering tools can help solve today's complex biological and biomedical research challenges - and this first-of-its-kind guide is paving the way. This trail-blazing work gives engineers a quantitative systems approach to bioinformatics research using computational tools drawn from technical disciplines. It presents biological processes in an engineering context to help engineers use their technical skills in solving novel biological problems and also to facilitate reverse engineering from biology in developing synthetic biological devices. This first-of-its-kind volume explores how the knowledge bases of various technical disciplines relate to, and are observed, in biological systems. It discusses signal processing techniques used in biological data analysis, explains cellular regulatory systems and their similarities to traditional control systems, and explores protein and gene networks, inference networks, and network dynamics. A major milestone in systems biology, this groundbreaking work points engineers to new frontiers in the convergence of engineering and biological research.
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About the Author
Gil Alterovitz is an NIH Biomedical Informatics Fellow in the Division of Health Sciences and Technology (HST) at Harvard and the Massachusetts Institute of Technology (MIT), and is a research affiliate at the Computer Science and Artificial Intelligence Laboratory (CSAIL) in the Department of Electrical Engineering and Computer Science at MIT. Marco F. Ramoni is an assistant professor of Pediatrics and Medicine at Harvard Medical School and an assistant professor of health sciences and technology at Harvard and the Massachusetts Institute of Technology (MIT).
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Systems Bioinformatics. An Engineering Case-Based Approach.
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Artech House Publishers, 2007
ISBN 10: 1596931248
ISBN 13: 9781596931244
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Systems Bioinformatics: An Engineering Case-Based Approach.
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Systems Bioinformatics: An Engineering Case-Based Approach
Published by
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ISBN 10: 1596931248
ISBN 13: 9781596931244
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