Author

Erhan Guven

Johns Hopkins University Applied Physics LaboratoryORCID 0000-0002-7601-1051Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

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Research Focus:batch correction / integration· 1 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Research Focus:dimensionality reduction· 1 Approach:machine learning (classical)· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1

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Genevieve Stein-O’BrieniD· 1 shared Kendall A. ReidiD· 1 shared

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2025-2025 · peak 1/yr

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Genevieve Stein-O’BrienORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintNov 12, 2025

Topology Matters: The Trade-off Between Wasserstein Critics and Discriminators in Single-Cell Data Integration

Kendall A. Reid, Genevieve Stein-O’Brien, Erhan Guven

The paper compares Wasserstein critics and discriminators for single-cell data integration, finding Wasserstein critics offer better mixing but risk over-correction, while discriminators provide more stable results.

DOI 10.1101/2025.11.12.688061

scRNA-seqstatistical model

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