Author

Nanjun Chen

City University of Hong KongORCID 0000-0003-1432-3495Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Nanjun Chen1 paper · ByteDance (China)

Biology Disciplines

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Bioinformatics· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Assay:Hi-C· 1 Research Focus:host-pathogen & immune response· 1

Frequent Co-Authors

Ashley N. NutsfordiD· 1 shared Blake Sullivan-Hill· 1 shared Fuzhou WangiD· 1 shared Gordon W. RewcastleiD· 1 shared Hamid Alinejad‐RoknyiD· 1 shared Jack U. FlanaganiD· 1 shared Jianbo YueiD· 1 shared Jiecong LiniD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperMicrobiology

Ashley N. NutsfordORCID

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2 papers

Recent·Most cited

MicrobiologybioRxivPreprintJun 22, 2025

Targeting PI3K Signaling for Broad Inhibition of β-Coronavirus Infection

Jinchao Xing, Qian Wang, Nanjun Chen…·Natalie E. Netzler

This study evaluates PI3K inhibitors against beta-coronaviruses, finding broad-spectrum antiviral activity and complex immunomodulatory effects.

1 citation

𝕏 PostBluesky

BioinformaticsAdvanced SciencePeer-reviewedApr 24, 2025

Unveiling multi-scale architectural features in single-cell Hi-C data using scCAFE

Fuzhou Wang, Jiecong Lin, Hamid Alinejad‐Rokny…·Xiangtao Li

scCAFE is a deep learning model that detects multi-scale chromatin architectural features in single-cell Hi-C data, outperforming existing methods and enabling cell-type annotation from 3D genome features.

4 citations

Hi-Cdeep learning

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