Author

Yongjian Yang

Texas A&M UniversityORCID 0000-0002-4135-5014Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:scRNA-seq· 4 Research Focus:differential expression· 3 Organism:human· 3 Research Focus:gene regulatory network inference· 2 Approach:machine learning (classical)· 2 Organism:mouse· 2 Approach:statistical model· 2 Assay:CITE-seq· 1

Frequent Co-Authors

James J. CaiiD· 4 shared Guanxun LiiD· 3 shared Qian Xu· 3 shared Yan ZhongiD· 3 shared Andrew HillhouseiD· 1 shared Bo-Jia CheniD· 1 shared Daniel OsorioiD· 1 shared Jianhua Z. HuangiD· 1 shared

Activity by Year

2021-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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4 shared papersBioinformatics

James J. CaiORCID

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4 papers

Recent·Most cited

Role of RSPO3 in Estrogen-mediated Sex Differences in Body Fat Distribution: A Single-cell Data-driven Study

Qian Xu, Yongjian Yang, Shreyan Gupta, Bo-Jia Chen, Guanxun Li, Mathew Chamberlain, James J. Cai

This study investigates the role of RSPO3 in estrogen-mediated sex differences in body fat distribution using single-cell RNA sequencing and spatial transcriptomics in humans and mice.

bioRxiv · Jan 3, 2025 · PreprintBioinformatics

Controlled Noise: Evidence of Epigenetic Regulation of Single-Cell Expression Variability

Yan Zhong, Siwei Cui, Yongjian Yang, James J. Cai

This study investigates the link between chromatin accessibility and single-cell expression variability using scATAC-seq and scRNA-seq data from human hematopoietic cells, finding that chromatin accessibility explains much of the variability.

Bioinformatics · Jul 1, 2024Peer-reviewedBioinformatics

Interpretable modeling of time-resolved single-cell gene-protein expression using CrossmodalNet

Yongjian Yang, Yu-Te Lin, Guanxun Li, Yan Zhong, Qian Xu, James J. Cai

The paper introduces CrossmodalNet, an interpretable model that predicts surface protein expression from scRNA-seq data and incorporates temporal information to uncover gene-protein relationships.

bioRxiv · May 16, 2023 · PreprintBioinformatics

scTenifoldKnk: an efficient virtual knockout tool for gene function predictions via single-cell gene regulatory network perturbation

Daniel Osorio, Yan Zhong, Guanxun Li, Qian Xu, Yongjian Yang, Andrew Hillhouse, Jingshu Chen, Laurie A. Davidson, Yanan Tian, Robert S. Chapkin, Jianhua Z. Huang, James J. Cai

scTenifoldKnk predicts gene function via virtual knockout using scRNA-seq data from wild-type samples, recapitulating real-animal KO results.

Patterns · Jan 1, 2021Peer-reviewedBioinformatics