This paper develops an algorithm that extracts explanatory rules from microarray data, which
we treat as time series, using genetic programming (GP) and fuzzy logic. Reverse polish
notation is used (RPN) to describe the rules and to facilitate the GP approach. The algorithm
also allows for the insertion of prior knowledge, making it possible to find sets of rules that
include the relationships between genes already known. The algorithm proposed is applied
to problems arising in the construction of gene regulatory networks, using two different sets …