Author

Yuqing Ma

Tsinghua–Berkeley Shenzhen Institute

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· 2 Plant Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:clustering· 2 Research Focus:database / resource· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:dimensionality reduction· 1 Approach:experimental assay· 1 Approach:graph neural network· 1

Frequent Co-Authors

Cencan XingiD· 2 shared Hongwu DuiD· 2 shared Yuanyan XiongiD· 2 shared Zehua ZengiD· 2 shared Bowen TaniD· 1 shared Chen LiiD· 1 shared Hao ZhuiD· 1 shared Hong Wang· 1 shared

Activity by Year

2024-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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2 shared papersBioinformatics

Cencan XingORCID

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Author profile →

3 papers

Recent·Most cited

Multi-Criteria Evaluation of Hibiscus mutabilis Cultivars for Food Development Using Delphi and Analytic Hierarchy Process

Yaoyuwei Fan, Yuqing Ma, Xiaoqing Shi, Yongjie Feng, Yiqiong Liu, Hong Wang, Xi Wang

This study evaluates 11 Hibiscus mutabilis cultivars for food use using Delphi and AHP, identifying three top cultivars for food development.

bioRxiv · Nov 6, 2026 · PreprintPlant Biology

OmicOS: A Comprehensive Omics Ecosystem Infrastructure and Agent System for the AI Era

Zehua Zeng, Xu Meng, LH Hu, Chen Li, Pi Liu, Y Shi, Xuejiao Ma, Lianchong Gao, Xuelei Wang, Zhi Luo, Yawen Zheng, Jieshen Xian, Ziheng Lin, Hao Zhu, Z H E N G M Jiang, , Hongwu Du

OmicOS provides an agent-operable omics ecosystem that enables AI systems to execute and verify analyses using community methods, achieving high performance in benchmark tasks.

bioRxiv · Jun 16, 2026 · PreprintBioinformatics

OmicVerse: A single pipeline for exploring the entire transcriptome universe

Zehua Zeng, Yuqing Ma, Lei Hu, Bowen Tan, Peng Liu, Yixuan Wang, Cencan Xing, Yuanyan Xiong, Hongwu Du

OmicVerse integrates bulk and single-cell RNA-seq analysis with a pipeline that restores continuity in interrupted single-cell data using Beta-Variational AutoEncoder and graph neural networks.

Nature Communications · Jul 16, 2024Peer-reviewedBioinformatics