Author

Bingfang Xu

National Institutes of HealthORCID 0000-0002-5397-6766Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Organism:human· 2 Approach:benchmark study· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1

Frequent Co-Authors

Ajith V. PankajamiD· 2 shared Richard H. ScheuermanniD· 2 shared Andreas BueckleiD· 1 shared Beverly F PengiD· 1 shared Brian R. Fluharty· 1 shared Bruce W. HerriD· 1 shared Caroline EastwoodiD· 1 shared Christopher L. DupontiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersBioinformatics

Ajith V. PankajamORCID

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2 papers

Recent·Most cited

Cell phenotypes in the biomedical literature: a systematic analysis and text mining corpus

Noam Rotenberg, Robert Leaman, Rezarta Islamaj, Helena Kuivaniemi, Gerard C. Tromp, Brian R. Fluharty, Sara Richardson, Caroline Eastwood, Matthew A. Diller, Bingfang Xu, Ajith V. Pankajam, David Osumi-Sutherland, Zhiyong Lu, Richard H. Scheuermann

The paper creates a manually annotated corpus of cell phenotype mentions and shows its use in improving named entity recognition and entity linking models.

bioRxiv · Feb 14, 2026 · PreprintBioinformatics

Benchmarking single cell transcriptome matching methods for incremental growth of cell atlases

Joyce K. Hu, Beverly F Peng, Ajith V. Pankajam, Bingfang Xu, Vikrant Deshpande, Andreas Bueckle, Bruce W. Herr, Christopher L. Dupont, Katy Börner, Richard H. Scheuermann, Yun Zhang

The paper benchmarks seven computational tools for matching cell types across cell atlases, finding variations in accuracy and proposing a framework for incremental growth of cell atlases.

bioRxiv · Apr 10, 2025 · PreprintBioinformatics