
Logic Synthesis for Genetic Diseases
Modeling Disease Behavior Using Boolean Networks
Springer (Publisher)
Published on 1. November 2013
Book
Hardback
XXI, 100 pages
978-1-4614-9428-7 (ISBN)
Description
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.
More details
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Research
Illustrations
20 s/w Abbildungen, 8 farbige Abbildungen
XXI, 100 p. 28 illus., 8 illus. in color.
Dimensions
Height: 241 mm
Width: 160 mm
Thickness: 13 mm
Weight
360 gr
ISBN-13
978-1-4614-9428-7 (9781461494287)
DOI
10.1007/978-1-4614-9429-4
Schweitzer Classification
Other editions
Additional editions

Pey-Chang Kent Lin | Sunil P. Khatri
Logic Synthesis for Genetic Diseases
Modeling Disease Behavior Using Boolean Networks
Book
08/2016
Springer
€106.99
Shipment within 15-20 days

Pey-Chang Kent Lin | Sunil P. Khatri
Logic Synthesis for Genetic Diseases
Modeling Disease Behavior Using Boolean Networks
E-Book
10/2013
1st Edition
Springer
€96.29
Available for download
Content
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.