Logic Synthesis for Genetic Diseases
Modeling Disease Behavior Using Boolean Networks
(Sprache: Englisch)
This book details logic synthesis techniques that can contribute to the analysis and control of Boolean Networks for modeling genetic diseases. It helps readers make the connection between genetic diseases and logic techniques in a clear, unambiguous manner.
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This book details logic synthesis techniques that can contribute to the analysis and control of Boolean Networks for modeling genetic diseases. It helps readers make the connection between genetic diseases and logic techniques in a clear, unambiguous manner.
Klappentext zu „Logic Synthesis for Genetic Diseases “
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.
Inhaltsverzeichnis zu „Logic Synthesis for Genetic Diseases “
Introduction.- Part I Inference of Gene Regulatory Networks.- Predictor Set Inference using SAT.- Determining Gene Function in Boolean Networks using SAT.- Predictor Ranking using Modified Zhegalkin Functions.- Part II Intervention of Gene Regulatory Networks.- ATPG for Cancer Therapy.- Summary and Future Work.
Bibliographische Angaben
- Autoren: Pey-Chang Kent Lin , Sunil P. Khatri
- 2014, 2014, XXI, 100 Seiten, 8 farbige Abbildungen, Masse: 16 x 24,1 cm, Gebunden, Englisch
- Verlag: Springer, Berlin
- ISBN-10: 1461494281
- ISBN-13: 9781461494287
- Erscheinungsdatum: 01.11.2013
Sprache:
Englisch
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