Author

Zilong Bai

Weill Cornell MedicineORCID 0000-0002-3891-8015Unclaimed 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· 1 Research Focus:cell type annotation· 1 Assay:CITE-seq· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:scATAC-seq· 1

Frequent Co-Authors

Dylan Mann‐KrzisnikiD· 1 shared Fei WangiD· 1 shared Hao ZhangiD· 1 shared Manqi ZhouiD· 1 shared Yue LiiD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 10 mutual co-author links

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1 shared paperBioinformatics

Dylan Mann‐KrzisnikORCID

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1 paper

Recent·Most cited

Single-cell multi-omic topic embedding reveals cell-type-specific and COVID-19 severity-related immune signatures

Manqi Zhou, Hao Zhang, Zilong Bai, Dylan Mann‐Krzisnik, Fei Wang, Yue Li

This study introduces moETM, a deep learning method for analyzing single-cell multi-omic data, and shows it identifies immune signatures and COVID-19 severity biomarkers.

Cell Reports Methods · Aug 1, 2023Peer-reviewedBioinformatics