Author

Yuxiang Li

Johns Hopkins UniversityORCID 0000-0001-6331-9666Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Yuxiang Li8 papers · BGI Group (China)

Biology Disciplines

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Bioinformatics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:deep learning· 1 Assay:electronic health records· 1 Organism:human· 1 Research Focus:imputation· 1 Research Focus:protein design· 1 Research Focus:protein structure prediction· 1 Assay:proteomics· 1

Frequent Co-Authors

Christie Mitchell BallantyneiD· 1 shared Dan E. ArkingiD· 1 shared Jennifer A. BrodyiD· 1 shared Joel S. BaderiD· 1 shared Josef CoreshiD· 1 shared Mary R. RooneyiD· 1 shared Nona SotoodehniaiD· 1 shared ThuyVy DuongiD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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1 shared paperBioinformatics

Christie Mitchell BallantyneORCID

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2 papers

Recent·Most cited

cpiVAE: Robust and Interpretable Cross-Platform Proteomics Imputation

Yuxiang Li, ThuyVy Duong, Mary R. Rooney, Christie Mitchell Ballantyne, Josef Coresh, Jennifer A. Brody, Nona Sotoodehnia, Dan E. Arking, Joel S. Bader

cpiVAE improves cross-platform proteomics imputation between Olink and SomaScan, achieving higher correlation than KNN and WNN, and enabling better phenotype associations.

bioRxiv · Nov 20, 2025 · PreprintBioinformatics

Backpropagation through time training of an unrolled Hodgkin Huxley model for automatic conductance estimation

This paper introduces a method using backpropagation through time to estimate ion channel conductances in neurons from voltage traces, achieving accurate results with single recordings.

bioRxiv · Apr 27, 2025 · PreprintNeuroscience