Author

Qiuyue Chen

North Carolina State UniversityORCID 0000-0002-3304-8321Unclaimed ORCID profile · follow to get notified of new preprints

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Qiuyue Chen3 papers · Sun Yat-sen University

Biology Disciplines

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:gene regulatory network inference· 1 Assay:GWAS summary statistics· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Abhishek GognaiD· 1 shared Alencar XavieriD· 1 shared Alessandra M. YorkiD· 1 shared Andrei SlabodkiniD· 1 shared Annan J. Timon· 1 shared Argeo Ulrich· 1 shared Aria C. Peterson· 1 shared B Kirtley AmosiD· 1 shared

Activity by Year

2019-2024 · peak 1/yr

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10 top collaborators · 24 mutual co-author links

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1 shared paperGenetics

Abhishek GognaORCID

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2 papers

Recent·Most cited

GeneticsGeneticsPeer-reviewedNov 22, 2024

Global Genotype by Environment Prediction Competition Reveals That Diverse Modeling Strategies Can Deliver Satisfactory Maize Yield Estimates

Jacob D. Washburn, José Ignacio Varela, Alencar Xavier…·Natalia de León

The paper reports on a competition to predict maize yield using genetic and environmental data, showing that diverse modeling approaches can achieve good results.

30 citationstop 2%

GWAS summary statisticsmachine learning (classical)

𝕏 PostBluesky

GeneticsGeneticsPeer-reviewedNov 1, 2019

TeoNAM: a nested association mapping population for domestication and agronomic trait analysis in maize

Qiuyue Chen, Chin Jian Yang, Alessandra M. York…·John Doebley

The paper develops a maize nested association mapping population (TeoNAM) to identify QTLs for domestication and agronomic traits, finding novel teosinte alleles and confirming a rice gene's role in maize tillering.

64 citationstop 3%

statistical modelgene regulatory network inference

𝕏 PostBluesky