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- W2068049308 abstract "The aim of this article is to present an application of Bayesian networks for discovery of affinity relationshipsbased on genetic data. The presented solution uses a search and score algorithm to discover the Bayesian networkstructure which best fits the data i.e. the alleles of single nucleotide polymorphisms detected by DNA microarrays.The algorithm perceives structure learning as a combinatorial optimization problem. It is a randomizedlocal search algorithm, which uses a Bayesian-Dirichlet scoring function. The algorithm's testing procedure encompassestests on synthetic data, generated from given Bayesian networks by a forward sampling procedure aswell as tests on real-world genetic data. The comparison of Bayesian networks generated by the application andthe genetic evidence data confirms the usability of the presented methods." @default.
- W2068049308 created "2016-06-24" @default.
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- W2068049308 date "2009-06-14" @default.
- W2068049308 modified "2023-09-23" @default.
- W2068049308 title "Statistical relationship discovery in SNP data using Bayesian networks" @default.
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- W2068049308 doi "https://doi.org/10.1117/12.837602" @default.
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