Author

Weilong Yang

University of Nebraska–LincolnPrimary ORCID profile (0009-0001-3309-2138 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Same name, identified by ORCID

Weilong YangiD1 paper · Guangdong Medical College

Biology Disciplines

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Bioinformatics· 1 Genomics· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 3 Organism:mouse· 2 Assay:scRNA-seq· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1

Frequent Co-Authors

Chi ZhangiD· 2 shared Alyssa J. Cai· 1 shared Haishuang LiniD· 1 shared Jackson Chen· 1 shared Jayamanna M. Wickramasinghe· 1 shared Kun SongiD· 1 shared Li HaniD· 1 shared Matthew T. AndrewsiD· 1 shared

Activity by Year

2022-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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2 shared papersImmunology

Chi ZhangORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Mechanistic Investigation of Reversible Hibernation-Driven Immune Suppression in Thirteen-Lined Ground Squirrels

Miaoyun Zhao, Jackson Chen, Rachel Burrett, Weilong Yang, Subhra Mandal, Saroj Chandra Lohani, Chi Zhang, Jayamanna M. Wickramasinghe, Matthew T. Andrews, Qingsheng Li

This study investigates immune suppression during torpor in 13-lined ground squirrels using single-cell RNA sequencing and image analysis, identifying metabolic and lineage-specific programs that conserve energy while preserving immune function.

bioRxiv · Sep 21, 2026 · PreprintImmunology

Identification of RNA-based cell-type markers for the stem cell manufacture system with a statistical scoring function

Yu Shi, Weilong Yang, Haishuang Lin, Li Han, Alyssa J. Cai, Ravi F. Saraf, Yuguo Lei, Chi Zhang

The paper identifies RNA-based cell-type markers for stem cell manufacture using a statistical scoring function and validates them with deep learning and simulated data.

bioRxiv · Oct 21, 2022 · PreprintBioinformatics

ISSAAC-seq enables sensitive and flexible multimodal profiling of chromatin accessibility and gene expression in single cells

Wei Qing Xu, Weilong Yang, Yunlong Zhang, Ya‐Wen Chen, Ni Hong, Qian Zhang, Xuefei Julie Wang, Yukun Hu, Kun Song, Wenfei Jin, Xi Xian Chen

ISSAAC-seq jointly profiles chromatin accessibility and gene expression in single nuclei, revealing cell types, regulatory elements, and chromatin dynamics in mouse cerebral cortex.

Nature Methods · Sep 15, 2022Peer-reviewedGenomics