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.
Complete list of metadatas
Contributor : Annick Valibouze <>
Submitted on : Thursday, October 17, 2019 - 3:44:44 PM
Last modification on : Friday, November 8, 2019 - 1:39:47 AM





Ines Abdeljaoued-Tej, Alia Benkahla, Ghassen Haddad, Annick Valibouze. Separators for Polynomial Dynamic Systems with Linear Complexity. Computational Methods in Systems Biology 17th International Conference, CMSB 2019, Sep 2019, Trieste, Italy. pp.373-378, ⟨10.1007/978-3-030-31304-3_30⟩. ⟨hal-02318990⟩



Record views