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

by Pey-Chang Kent Lin, Sunil P. Khatri

Overview

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.

Product Details

ISBN-13:	9781493955350
Publisher:	Springer New York
Publication date:	08/23/2016
Edition description:	Softcover reprint of the original 1st ed. 2014
Pages:	100
Product dimensions:	6.10(w) x 9.25(h) x 0.01(d)

Table of Contents

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.