Immediate Neighbours of Monotone Boolean Functions

José E. R. Cury, Patrícia Tenera Roxo, Vasco Manquinho, Claudine Chaouiya, Pedro T. Monteiro
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Abstract

Boolean networks constitute relevant mathematical models to study the behaviours of genetic and signalling networks. These networks define regulatory influences between molecular nodes, each being associated to a Boolean variable and a regulatory (local) function specifying its dynamical behaviour depending on its regulators. However, existing data is mostly insufficient to adequately parametrise a model, that is to uniquely define a regulatory function for each node. With the intend to support model parametrisation, this paper presents results on the set of Boolean functions compatible with a given regulatory structure, i.e. the partially ordered set of monotone non-degenerate Boolean functions. More precisely, we present original rules to obtain the direct neighbours of any function of this set. Besides a theoretical interest, presented results will enable the development of more efficient methods for Boolean network synthesis and revision, benefiting from the progressive exploration of the vicinity of regulatory functions.
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单调布尔函数的直接邻域
布尔网络是研究遗传和信号网络行为的相关数学模型。这些网络定义了分子节点之间的调控影响,每个节点都与一个布尔变量和一个调控(局部)函数相关联,该函数根据分子节点的调控因子指定其动态行为。然而,现有数据大多不足以充分参数化一个模型,即为每个节点唯一定义一个调控函数。为了支持模型参数化,本文提出了与给定调节结构兼容的布尔函数集,即单调非退化布尔函数的部分有序集。更准确地说,我们提出了获得该集合中任何函数的直接邻域的原始规则。除了理论上的意义之外,我们提出的结果将有助于开发更有效的布尔网络合成和修正方法,并从逐步探索调控函数的邻域中获益。
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