作者: Dorothy Bollman , Edusmildo Orozco , Oscar Moreno
DOI: 10.1007/978-3-540-24767-8_50
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摘要: The reverse engineering problem is the of, given a set of measurements over genetic network, determine function that fits data. In this work we develop solution to uses finite field model and takes advantage efficient algorithms for arithmetic have recently been developed other applications such as cryptography. Our solution, which very large networks biologists would like consider, by univariable polynomial determined parallel version Lipson’s interpolation algorithm.