Abstract
Various approaches are used to reconstruct gene regulatory networks from gene expression data. This work applies a multi-objective particle swarm optimization algorithm to two different formulations of the problem model, the S-system and the recently introduced half-system. Two methods to set a threshold for distinguishing between existing and non-existing gene–gene interactions are tested. The S-system and the half-system show similar performance although the tested implementations applied to a gene expression benchmark dataset could not sufficiently outperform the performances of other methods previously reported in the literature.
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Nirnberger, T., Dornberger, R., Hanne, T. (2023). Inference of a Gene Regulatory Network by Applying OMOPSO to the S-System and the Half-System. In: Kumar, S., Hiranwal, S., Purohit, S.D., Prasad, M. (eds) Proceedings of International Conference on Communication and Computational Technologies . Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-19-3951-8_33
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DOI: https://doi.org/10.1007/978-981-19-3951-8_33
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