Separators for Polynomial Dynamic Systems with Linear Complexity
Abstract
Computation biology helps to understand processes in organisms from interaction of molecules to complex functions of whole organs. Therefore, there is a need for mathematical methods and models that deliver logical explanations in a reasonable time. We propose herein a method based on algebraic separators, which are special polynomials abundantly studied in effective Galois theory. These polynomials are used in modelling discrete data related to cellular pathways affected in cancer and targeting therapies.