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确定生物网络单调性的距离:一种图论方法。

Determining the distance to monotonicity of a biological network: a graph-theoretical approach.

机构信息

SISSA International School for Advanced Studies, Trieste, Italy.

出版信息

IET Syst Biol. 2010 May;4(3):223-35. doi: 10.1049/iet-syb.2009.0040.

Abstract

The authors use ideas from graph theory in order to determine how distant is a given biological network from being monotone. On the signed graph representing the system, the minimal number of sign inconsistencies (i.e. the distance to monotonicity) is shown to be equal to the minimal number of fundamental cycles having a negative sign. Suitable operations aiming at computing such a number are also proposed and shown to outperform all algorithms that are so far existing for this task. [Includes supplementary material].

摘要

作者运用图论的思想来确定给定的生物网络与单调网络的距离。在表示系统的有符号图上,具有负号的基本循环的最小数量(即单调距离)被证明等于符号不一致的最小数量。还提出了旨在计算此数量的合适操作,并证明其优于迄今为止为此任务存在的所有算法。[包括补充材料]。

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