modeling disease behavior using boolean networks /
Pey-Chang Kent Lin, Sunil P. Khatri
1 online resource (xxi, 100 pages) :
illustrations (some color)
Includes bibliographical references and index
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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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