Author

Dylan Agyemang

University of North Carolina at Chapel Hill

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Assay:imaging· 1

Frequent Co-Authors

J. Matthew MahoneyiD· 1 shared Rafael A. IrizarryiD· 1 shared Sheng LiiD· 1 shared Tavor Z. BaharaviD· 1 shared Yang LiuiD· 1 shared Yue ZhaoiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 7 mutual co-author links

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1 shared paperBioinformatics

J. Matthew MahoneyORCID

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2 papers

Recent·Most cited

BioinformaticsJournal of Computational BiologyPeer-reviewedSep 15, 2026

Unique molecular identifiers don't need to be unique: a collision-aware estimator for RNA-seq quantification

Dylan Agyemang, Rafael A. Irizarry, Tavor Z. Baharav

The paper introduces a collision-aware estimator for RNA-seq quantification that allows shorter UMIs without sacrificing accuracy.

DOI 10.1177/15578666261477771

bulk RNA-seqstatistical model

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BioinformaticsScience AdvancesPeer-reviewedDec 20, 2024

Quantifying Interpretation Reproducibility in Vision Transformer Models with TAVAC

Yue Zhao, Dylan Agyemang, Yang Liu…·Sheng Li

The paper introduces TAVAC, a metric to quantify overfitting and interpretation reproducibility in Vision Transformer models using attention consistency across training and validation data.

11 citations

imagingstatistical model

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