Author

So–Youn Shin

University of BristolORCID 0000-0002-7097-4551Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1 Approach:statistical model· 1

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Caroline Laura ReltoniD· 1 shared George Davey SmithiD· 1 shared Heather Jane CordelliD· 1 shared Richard A. J. HoweyiD· 1 shared

Activity by Year

2020-2020 · peak 1/yr

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4 top collaborators · 6 mutual co-author links

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1 shared paperGenetics

Caroline Laura ReltonORCID

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1 paper

Recent·Most cited

GeneticsPLoS GeneticsPeer-reviewedMar 2, 2020

Bayesian network analysis incorporating genetic anchors complements conventional Mendelian randomization approaches for exploratory analysis of causal relationships in complex data

Richard A. J. Howey, So–Youn Shin, Caroline Laura Relton…·Heather Jane Cordell

This paper compares Bayesian network analysis with Mendelian randomization for causal inference in complex datasets, finding BN with genetic anchors performs better in certain scenarios.

54 citationstop 3%

GWAS summary statisticsBayesian inference