Author

Ya Zhang

Key Laboratory of Bioresource Protection and Utilization of Anhui Province

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

Biology Disciplines

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Bioinformatics· 1 Cell Biology· 1 Plant Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Approach:contrastive learning· 1 Approach:deep learning· 1 Assay:electronic health records· 1 Approach:experimental assay· 1 Organism:human· 1

Frequent Co-Authors

Andrea NardiniiD· 1 shared Anirban GuhaiD· 1 shared Anna LintuneniD· 1 shared Ari LauréniD· 1 shared Arne ScheireiD· 1 shared Barbara BeikircheriD· 1 shared Bernhard SchuldtiD· 1 shared Christophe L. TrabiiD· 1 shared

Activity by Year

2017-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperPlant Biology

Andrea NardiniORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

RELAY: Relational In-Context Learning for Cellular Perturbation Prediction

Yuze Sun, Jinghao Feng, Yanfeng Wang, Weidi Xie, Ya Zhang, Xiaoman Zhang

RELAY predicts cellular responses to perturbations by learning relational patterns from measured data, outperforming existing methods on unseen variable values and combinations.

bioRxiv · Nov 3, 2026 · PreprintCell Biology

Beyond air-seeding: Dynamic, multiphase interactionsreveal a two-step mechanism of embolism propagation inangiosperm xylem

Steven Jansen, Lucian Kaack, Mutez A. Ahmed, Barbara Beikircher, Paulo Bittencourt, Renjie Chen, Jaume Flexas, Sean M. Gleason, Anirban Guha, Patrick Heuret, T. Hölttä, Stephen Ingram, Xiuping Jiang, Palasiah Jotan, Radek Jupa, , H. Jochen Schenk

This paper identifies a two-step mechanism of embolism propagation in angiosperm xylem, involving bubble generation and embolism formation as distinct processes.

bioRxiv · Aug 6, 2026 · PreprintPlant Biology

A Machine Learning-based Framework to Identify Type 2 Diabetes through Electronic Health Records

Tao Zheng, Wei Xie, Liling Xu, Xiaoying He, Ya Zhang, Mingrong You, Gong Yang, You Chen

This paper develops a machine learning framework to identify Type 2 Diabetes cases and controls from electronic health records, achieving higher accuracy than expert-based methods.

International Journal of Medical Informatics · Jan 1, 2017Peer-reviewedBioinformatics