Author

Xinyu Zhang

Tianjin Medical UniversityORCID 0000-0001-6697-0403Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Xinyu Zhang6 papers · Baotou Central Hospital

Biology Disciplines

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Bioinformatics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Organism:human· 1 Assay:metabolomics· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Alexander M. FranksiD· 1 shared Amie HilleriD· 1 shared Bingjie LiiD· 1 shared Cyrus P. ZabetianiD· 1 shared Daniel PromislowiD· 1 shared Daniel RafteryiD· 1 shared Dongfang WangiD· 1 shared Elaine R. PeskindiD· 1 shared

Activity by Year

2021-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperSystems Biology

Alexander M. FranksORCID

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2 papers

Recent·Most cited

Interpretable scRNA-seq Analysis with Intelligent Gene Selection

Tianhao Ni, Xinyu Zhang, Kaixiu Jin, Guanxiong Pei, Nan Xue, Guanao Yan, Taihao Li, Bingjie Li

AIGS improves scRNA-seq analysis by selecting informative genes and using a scale-invariant distance metric, achieving better clustering and visualization.

bioRxiv · Sep 1, 2024 · PreprintBioinformatics

An aging clock using metabolomic CSF

Nathan Hwangbo, Xinyu Zhang, Daniel Raftery, Haiwei Gu, Shu‐Ching Hu, Thomas Jude Montine, Joseph F. Quinn, Kathryn A. Chung, Amie Hiller, Dongfang Wang, Qiang Fei, Lisa Bettcher, Cyrus P. Zabetian, Elaine R. Peskind, Gail Li, , Alexander M. Franks

This paper develops a metabolomic age prediction model using CSF data from healthy humans and applies it to Alzheimer's and Parkinson's patients, finding increased prediction error in disease cohorts.

bioRxiv · Apr 4, 2021 · PreprintSystems Biology