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- W3206095108 abstract "Boolean network is a modeling tool that describes a dynamic system with binary variables and their logical transition formulas. Recent studies in precision medicine use a Boolean network to discover critical genetic alterations that may lead to cancer or target genes for effective therapies to individuals. In this paper, we study a logical inference problem in a Boolean network to find all such critical genetic alterations in a minimal (parsimonious) way. We propose a bilevel integer programming model to find a single minimal genetic alteration. Using the bilevel integer programming model, we develop a branch and bound algorithm that effectively finds all of the minimal alterations. Through a computational study with eleven Boolean networks from the literature, we show that the proposed algorithm finds solutions much faster than the state-of-the-art algorithms in large data sets." @default.
- W3206095108 created "2021-10-25" @default.
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- W3206095108 date "2022-07-01" @default.
- W3206095108 modified "2023-10-01" @default.
- W3206095108 title "Bilevel integer programming on a Boolean network for discovering critical genetic alterations in cancer development and therapy" @default.
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- W3206095108 doi "https://doi.org/10.1016/j.ejor.2021.10.019" @default.
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