TY - GEN digital ID - 131513213 TI - Logic Synthesis for Genetic Diseases : Modeling Disease Behavior Using Boolean Networks AU - Lin, Pey-Chang Kent AU - Khatri, Sunil P. PY - 2014 SN - 9781461494294 PB - New York, NY Springer DB - UniCat KW - Biomathematics. Biometry. Biostatistics KW - Molecular biology KW - Human biochemistry KW - Electrical engineering KW - Applied physical engineering KW - Programming KW - medische biochemie KW - bio-informatica KW - biochemie KW - biometrie KW - ingenieurswetenschappen KW - elektrische circuits KW - moleculaire biologie UR - https://www.unicat.be/uniCat?func=search&query=sysid:131513213 AB - This book brings to bear a body of logic synthesis techniques, in order to contribute to the analysis and control of Boolean Networks (BN) for modeling genetic diseases such as cancer. The authors provide several VLSI logic techniques to model the genetic disease behavior as a BN, with powerful implicit enumeration techniques. Coverage also includes techniques from VLSI testing to control a faulty BN, transforming its behavior to a healthy BN, potentially aiding in efforts to find the best candidates for treatment of genetic diseases.    • 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. ER -