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Separators for Polynomial Dynamic Systems with Linear Complexity

机译:具有线性复杂度的多项式动力系统的分离器

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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.
机译:计算生物学有助于理解生物体中从分子相互作用到整个器官复杂功能的过程。因此,需要在合理的时间内提供逻辑解释的数学方法和模型。我们在这里提出一种基于代数分隔符的方法,代数分隔符是在有效Galois理论中被广泛研究的特殊多项式。这些多项式用于建模与癌症和靶向治疗中受影响的细胞途径有关的离散数据。

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