Logic Synthesis for Genetic Diseases Modeling Disease Behavior Using Boolean Networks /

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 impl...

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Detalles Bibliográficos
Autor principal: Lin, Pey-Chang Kent
Otros Autores: Khatri, Sunil P.
Formato: Libro electrónico
Lenguaje:Inglés
Publicado: New York, NY : Springer New York : Imprint: Springer, 2014.
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Acceso en línea:http://dx.doi.org/10.1007/978-1-4614-9429-4
Aporte de:Registro referencial: Solicitar el recurso aquí
Tabla de Contenidos:
  • 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.