Logic Synthesis for Genetic Diseases

Modeling Disease Behavior Using Boolean Networks
2014
ISBN: 978-1-4614-9428-7
Verlag: Springer

Buch, Englisch, 100 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 360 g

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.

Zielgruppe

Research

Autoren/Hrsg.

Khatri, Sunil P.

Lin, Pey-Chang Kent

Fachgebiete

• Naturwissenschaften Biowissenschaften Angewandte Biologie Bioinformatik
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Wissenschaft & Technologie
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Bioinformatik
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Schaltungsentwurf
• Naturwissenschaften Biowissenschaften Biowissenschaften Genetik und Genomik (nichtmedizinisch)
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizinische Mathematik & Informatik

Inhaltsverzeichnis

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.