Author

Jing Zhu

Biogen (United States)ORCID 0000-0002-9039-6533Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Jing Zhu3 papers · Dalian Maritime University

Biology Disciplines

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Bioinformatics· 2 Neuroscience· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:benchmarking· 2 Assay:bulk RNA-seq· 2 Research Focus:software / tool· 2 Research Focus:cell-cell communication· 1 Research Focus:database / resource· 1 Approach:experimental assay· 1 Organism:human· 1

Frequent Co-Authors

Baohong ZhangiD· 3 shared Fergal CaseyiD· 2 shared Soumya NegiiD· 2 shared Amanda J. GuiseiD· 1 shared Andrew R. GehrkeiD· 1 shared Benbo GaoiD· 1 shared Chris EhrenfelsiD· 1 shared David SextoniD· 1 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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3 shared papersBioinformatics

Baohong ZhangORCID

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3 papers

Recent·Most cited

Spatial transcriptomics reveals heterogeneous cell-cell interactions among brain regions in a cuprizone model consistent with multiple sclerosis lesions

Hui‐Hsin Tsai, Sarbottam Piya, Jing Wang, Jing Zhu, Wenxing Hu, Andrew R. Gehrke, Shaolong Cao, Amanda J. Guise, Su Jing Chan, Mark J. Sheehan, Jenhwa Chu, Zhengyu Ouyang, Matthew M. Ryals, Michelle Lee, Wanli Wang, , Baohong Zhang

The paper uses spatial transcriptomics to analyze cell-cell interactions in a cuprizone model, finding region-specific changes and partial translatability to multiple sclerosis lesions.

Frontiers in Bioinformatics · Aug 6, 2026Peer-reviewedNeuroscience

OmicsView: omics data analysis through interactive visual analytics

Fergal Casey, Soumya Negi, Jing Zhu, Yu Huining Sun, Maria I. Zavodszky, Derrick Cheng, Dongdong Lin, Sally John, Michelle A. Penny, David Sexton, Baohong Zhang

OmicsView provides an interactive platform for analyzing omics data, enabling researchers to explore disease pathology and identify biomarkers using preprocessed datasets.

Computational and Structural Biotechnology Journal · Jan 1, 2022Peer-reviewedBioinformatics

Quickomics: exploring omics data in an intuitive, interactive and informative manner

Benbo Gao, Jing Zhu, Soumya Negi, Xinmin Zhang, Stefka Gyoneva, Fergal Casey, Ru Wei, Baohong Zhang

Quickomics is an R Shiny tool for interactive exploration of omics data analysis results, offering customizable modules and visualization options.

Bioinformatics · Apr 19, 2021Peer-reviewedBioinformatics