ArticleBMC genomics2017
Active module identification in intracellular networks using a memetic algorithm with a new binary decoding scheme.
Article in BMC genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- A multi-objective genetic algorithm to find active modules in multiplex biological networks.PLoS computational biology · 2021Article
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5 authors.
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Abstract
backgroundActive modules are connected regions in biological network which show significant changes in expression over particular conditions. The identification of such modules is important since it may reveal the regulatory and signaling mechanisms that associate with a given cellular response.
resultsIn this paper, we propose a novel active module identification algorithm based on a memetic algorithm. We propose a novel encoding/decoding scheme to ensure the connectedness of the identified active modules. Based on the scheme, we also design and incorporate a local search operator into the memetic algorithm to improve its performance.
conclusionThe effectiveness of proposed algorithm is validated on both small and large protein interaction networks.
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