In this paper, we introduce an exact algorithm with a time complexity of$O^*(1.325^m)$ for the {\sc weighted mutually exclusive maximum set cover}problem, where $m$ is the number of subsets in the problem. This is an NP-hardmotivated and abstracted from a bioinformatics problem of identifying signalingpathways based gene mutations. Currently, this problem is addressed usingheuristic algorithms, which cannot guarantee the performance of the solution.By providing a relatively efficient exact algorithm, our approach will likeincrease the capability of finding better solutions in the application ofcancer research.
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机译:在本文中,我们针对{\ sc加权互斥最大集覆盖}问题引入了一种精确的算法,其时间复杂度为$ O ^ *(1.325 ^ m)$,其中$ m $是问题中子集的数量。这是一个NP动机,并从识别基于信号通路的基因突变的生物信息学问题中抽象出来。当前,该问题使用启发式算法解决,不能保证解决方案的性能。通过提供相对有效的精确算法,我们的方法将像在癌症研究的应用中一样,提高寻找更好解决方案的能力。
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