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An O(1.787~n)-Time Algorithm for Detecting a Singleton Attractor in a Boolean Network Consisting of AND/OR Nodes

机译:一种(1.787〜n) - 在由/或节点组成的布尔网络中检测单例吸引子的-time算法

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The Boolean network (BN) is a mathematical model of genetic networks. It is known that detecting a singleton attractor, which is also called a fixed point, is NP-hard even for AND/OR BNs (i.e., BNs consisting of AND/OR nodes), where singleton attractors correspond to steady states. Though a naive algorithm can detect a singleton attractor for an AND/OR BN in O(n2~n) time, no O((2 - ∈)~n) (∈ > 0) time algorithm was known even for an AND/OR BN with non-restricted indegree, where n is the number of nodes in a BN. In this paper, we present an O(1.787~n) time algorithm for detecting a singleton attractor of a given AND/OR BN, along with related results.
机译:布尔网络(BN)是遗传网络的数学模型。众所周知,检测Singleton吸引子,该吸引子也称为固定点,即使对于和/或由和/或节点组成的BNS(即,BNS),其中Singleton吸引子对应于稳态。尽管天真算法可以在O(n2〜n)时间内的AND /或BN的单例吸引子,但即使是AND和/或)也是已知的NO O((2 - ∈)〜n)(∈> 0)时间算法BN具有非受限制的Indegree,其中N是BN中的节点数。在本文中,我们介绍了一种用于检测给定和/或BN的单身吸引子的O(1.787〜N)时间算法以及相关结果。

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