Author

Yupeng Wang

National Institutes of HealthORCID 0000-0002-3002-8069Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Organism:human· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Assay:DNA methylation· 1 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Abhrarup RoyiD· 1 shared Paule V. JosephiD· 1 shared Rosario B. Jaime-LaraiD· 1 shared Xinyue LiuiD· 1 shared Ying SuniD· 1 shared

Activity by Year

2019-2021 · peak 1/yr

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5 top collaborators · 10 mutual co-author links

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1 shared paperBioinformatics

Abhrarup RoyORCID

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2 papers

Recent·Most cited

SeqEnhDL: sequence-based classification of cell type-specific enhancers using deep learning models

Yupeng Wang, Rosario B. Jaime-Lara, Abhrarup Roy, Ying Sun, Xinyue Liu, Paule V. Joseph

SeqEnhDL classifies cell type-specific enhancers using deep learning, outperforming existing methods and directly distinguishing enhancers from different cell types.

BMC Research Notes · Mar 19, 2021Peer-reviewedBioinformatics

Understanding the genetic risks of complex diseases using the additive epistatic interaction model: a simulation study

Yupeng Wang

This paper introduces an additive epistatic interaction model to study genetic risks of complex diseases through simulation and real data, showing it can capture hereditary patterns and classify populations.

bioRxiv · Dec 4, 2019 · PreprintBioinformatics