Authors:
- Discusses a new application for logic synthesis, which enables the use of Boolean Networks to model the behavior of genetic-based diseases
- Demonstrates how techniques such as Boolean Satisfiability (SAT) and Automatic Test Pattern Generation (ATPG) can be applied in the context of genetics
- Provides content that appeals to researchers in genetics and logic synthesis and enables readers to make the connection between genetic diseases and logic techniques in a clear, unambiguous manner
- Includes supplementary material: sn.pub/extras
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Table of contents (6 chapters)
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Front Matter
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Inference of Gene Regulatory Networks
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Front Matter
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Intervention of Gene Regulatory Networks
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Front Matter
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Back Matter
About this book
Authors and Affiliations
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Electrical and Computer Engineering, Texas A&M University, College Station, USA
Pey-Chang Kent Lin, Sunil P. Khatri
Bibliographic Information
Book Title: Logic Synthesis for Genetic Diseases
Book Subtitle: Modeling Disease Behavior Using Boolean Networks
Authors: Pey-Chang Kent Lin, Sunil P. Khatri
DOI: https://doi.org/10.1007/978-1-4614-9429-4
Publisher: Springer New York, NY
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Science+Business Media New York 2014
Hardcover ISBN: 978-1-4614-9428-7
Softcover ISBN: 978-1-4939-5535-0
eBook ISBN: 978-1-4614-9429-4
Edition Number: 1
Number of Pages: XXI, 100
Number of Illustrations: 20 b/w illustrations, 8 illustrations in colour
Topics: Circuits and Systems, Biomedical Engineering and Bioengineering, Computational Biology/Bioinformatics