Logic Synthesis for Genetic Diseases: Modeling Disease Behavior Using Boolean Ne
Discusses a new application for logic synthesis, which enables the use of Boolean Networks to model the behavior of genetic-based diseases; Demonstrates how techniques such as Boolean Satisfiability (SAT) and Automatic Test Pattern Generation (ATPG) can be applied in the context of genetics; Provides content that appeals to researchers in genetics and logic synthesis and enables readers to make the connection between genetic diseases and logic techniques in a clear, unambiguous manner.
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