modeling disease behavior using boolean networks /
First Statement of Responsibility
Pey-Chang Kent Lin, Sunil P. Khatri
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
1 online resource (xxi, 100 pages) :
Other Physical Details
illustrations (some color)
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
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Includes bibliographical references and index
CONTENTS NOTE
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Predictor Set Inference using SAT -- Determining Gene Function in Boolean Networks using SAT -- Predictor Ranking using Modified Zhegalkin Functions -- ATPG for Cancer Therapy -- Summary and Future Work
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SUMMARY OR ABSTRACT
Text of Note
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