Logic Synthesis for Genetic Diseases: Modeling Disease Behavior Using Boolean Networks. Questo articolo non è disponibile.
Lingua: inglese
Editore: Springer 2016-08-23, 2016
- Brossura
- Nuovo

Da: Chiron Media, Wallingford, Regno UnitoChiron Media
Venditore con 5 stelle
Venditore AbeBooks dal 2 agosto 2010
Non disponibile
Brossura
Condizione: Nuovo
EUR 116,20
Codice articolo 6666-IUK-9781493955350
- Titolo
- Logic Synthesis for Genetic Diseases: Modeling Disease Behavior Using Boolean Networks
- Autore
- Pey-Chang Kent Kent Lin, Sunil P. Khatri
- Editore
- Springer 2016-08-23
- Anno di pubblicazione
- 2016
- Condizione
- New
- Rilegatura
- Paperback
- Lingua
- inglese
- ISBN 10
- 1493955357
- ISBN 13
- 9781493955350
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.
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Dalla quarta di copertina
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.
• 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.
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