Searching for discrimination rules in protease proteolytic cleavage activity using genetic programming with a min-max scoring function.

Abstract

This paper presents an algorithm which is able to extract discriminant rules from oligopeptides for protease proteolytic cleavage activity prediction. The algorithm is developed using genetic programming. Three important components in the algorithm are a min-max scoring function, the reverse Polish notation (RPN) and the use of minimum description length… (More)

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