Author

Yang Da

University of MinnesotaORCID 0000-0003-0119-7928Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Approach:Bayesian inference· 1 Research Focus:fine-mapping· 1 Research Focus:gene regulatory network inference· 1 Research Focus:genome assembly· 1 Research Focus:GWAS / association mapping· 1 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Dzianis PrakapenkaiD· 1 shared Jicai JiangiD· 1 shared John B. ColeiD· 1 shared Li MaiD· 1 shared Paul Michael VanRadeniD· 1 shared Zuoxiang LiangiD· 1 shared

Activity by Year

2018-2022 · peak 1/yr

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6 top collaborators · 7 mutual co-author links

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1 shared paperGenetics

Dzianis PrakapenkaORCID

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2 papers

Recent·Most cited

GeneticsFrontiers in GeneticsPeer-reviewedOct 14, 2022

Multifactorial Methods Integrating Haplotype and Epistasis Effects for Genomic Estimation and Prediction of Quantitative Traits

Yang Da, Zuoxiang Liang, Dzianis Prakapenka

The paper develops multifactorial methods to estimate and predict quantitative traits by integrating haplotype and epistasis effects up to third-order, improving genomic prediction accuracy.

12 citations

statistical modelgenome assembly

𝕏 PostBluesky

GeneticsbioRxivPreprintOct 2, 2018

Fast Bayesian fine-mapping of 35 production, reproduction and body conformation traits with imputed sequences of 27K Holstein bulls

Jicai Jiang, John B. Cole, Yang Da…·Li Ma

The paper imputes sequence variants in Holstein bulls and performs fine-mapping of 35 traits using a Bayesian approach, identifying candidate genes and variants.

12 citations

whole-genome sequencingBayesian inference

𝕏 PostBluesky