Author

Y. Zha

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

Biology Disciplines

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Bioinformatics· 1 Cancer Biology· 1 Cell Biology· 1 Microbiology· 1 Pharmacology & Toxicology· 1 Plant Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 6 Research Focus:differential expression· 4 Research Focus:cell type annotation· 3 Approach:deep learning· 3 Organism:human· 3 Assay:metagenomics· 3 Research Focus:cell-cell communication· 2 Assay:proteomics· 2

Frequent Co-Authors

K. Ning· 2 shared L. Zhang· 2 shared A. A. Alizadeh· 1 shared A. Bagaev· 1 shared A. Cooper· 1 shared B. J. Sworder· 1 shared B. Pelzer· 1 shared B. W. MacNabb· 1 shared

Activity by Year

2021-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 23 mutual co-author links

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2 shared papersPharmacology & Toxicology

K. Ning

Mutual co-authors in cluster

Author profile →

6 papers

Recent·Most cited

Marker-specific pixel attribution for single-cell protein quantification with PixAQ

Y. Zha, C. Liang, Y. Lin, G. Li, C. Zhang, Z. Huang, Z. Wang, L. Zhang, M. Tong, W. Jiang, X. Xiao, Rongshan Yu

PixAQ improves single-cell protein quantification in imaging mass cytometry by assigning pixel signals to specific markers using spatial and intensity models.

bioRxiv · Nov 4, 2026 · PreprintBioinformatics

Integrative genomic analysis identifies unique immune environments associated with immunotherapy response in diffuse large B cell lymphoma

S. Tumuluru, J. K. Godfrey, A. Cooper, J. Yu, X. Chen, B. W. MacNabb, G. Venkataraman, Y. Zha, B. Pelzer, J. Song, G. Duns, B. J. Sworder, C. Bolen, E. Penuel, E. Postovalova, , J. Kline

This study identifies unique immune environments in DLBCL associated with response to immunotherapy using an integrative multi-omic approach.

bioRxiv · Jan 17, 2024 · PreprintCancer Biology

Single-Cell RNA-seq of Heart Reveals Intercellular Communication Drivers of Myocardial Fibrosis in Diabetic Mice

Z. Zhang, W. Li, X. Lou, Y. Zha, J. Zha, L. Hong, Z. Xie, S. Yang, C. Wang, J. An, S. Qiao

This study uses single-cell RNA-seq to identify intercellular communication drivers of myocardial fibrosis in diabetic mice, highlighting key ligand-receptor interactions and fibroblast subpopulations involved in fibrosis.

bioRxiv · Jun 29, 2022Cell Biology

Quality Control Framework of TCM Preparations based on Multi-type Fingerprints using a Source Proportion Estimation Model

Y. Zha, Q. Yao, D. Zhao, X. Zhu, H. Bai, K. Ning

This paper proposes a quality control framework for TCM preparations using multi-type fingerprints and a source proportion estimation model to evaluate batch consistency and manufacturer differences.

bioRxiv · Apr 27, 2022 · PreprintPharmacology & Toxicology

Microbial dysbiosis and metabolic disorders promote rheumatoid arthritis across successive stages: a multi-omics cohort study

M. Cheng, Y. Zhao, Y. Cui, C. Zhong, Y. Zha, S. Li, G. Cao, M. Li, L. Zhang, K. Ning, J. Han

This study identifies stage-specific microbial and metabolic changes in RA progression using multi-omics data from a cohort of patients.

bioRxiv · Feb 13, 2022 · PreprintMicrobiology

QTL analysis of vegetative phase change in natural accessions of Arabidopsis thaliana

E. Doody, Y. Zha, J. He, S. Poethig

This study identifies quantitative trait loci (QTLs) associated with vegetative phase change in Arabidopsis thaliana accessions, revealing distinct genetic mechanisms for different developmental transitions.

bioRxiv · Oct 27, 2021 · PreprintPlant Biology