Author

Mingxuan Li

MOE Key Lab for Intelligent Networks & Networks Security, Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, China; School of Automation Science and Engineering, Faculty of Electronic and Information Engineering, Xi'an Ji;Primary ORCID profile (0009-0000-2148-2190 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

Mingxuan LiiD1 paper · China Agricultural University

Biology Disciplines

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Bioinformatics· 1 Evolutionary Biology· 1 Genetics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 3 Organism:human· 2 Research Focus:trajectory inference· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:chromatin & epigenetic regulation· 1 Approach:deep learning· 1

Frequent Co-Authors

Deyu MengiD· 2 shared Qi Xie· 2 shared Stephen J. BushiD· 2 shared Bing Liu· 1 shared Chenxi YuiD· 1 shared Chunhong Zheng· 1 shared Chuyuan Lou· 1 shared Dan Xu· 1 shared

Activity by Year

2024-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersGenetics

Deyu MengORCID

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Author profile →

4 papers

Recent·Most cited

Cellular context shapes the transcriptomic impact of somatic variants

Peisen Sun, Peng Jia, Chuyuan Lou, Xiaona Li, Miaojing Li, Ruifen Zhang, Hui Lin, Xiujuan Li, Yunsong Zhou, Shuzheng Cai, Zexin Zhang, Pengyu Zhang, Tun Xu, Songbo Wang, Yudong Wang, , Kai Ye

The paper shows that somatic variants' transcriptomic impact depends on cellular context, not just sequence, using single-cell transcriptomics and new tools.

bioRxiv · Nov 2, 2026 · PreprintGenetics

DEPICT enables sample-centric therapeutic prioritization across evolving and spatially heterogeneous tumor states

Shiwen Ma, Shi Yan, Xiaohu Wen, Chenxi Yu, Honghao Ma, Wenzhong Teng, Xuantong Zhou, Jingxi Gao, Siyun Wang, Mingxuan Li, Yanyi Huang, Han Kui, Nan Wu, Bing Liu, Chunhong Zheng

DEPICT prioritizes therapies within tumor contexts using deep learning, showing effectiveness across different tumor states and spatial heterogeneity.

bioRxiv · Oct 9, 2026 · PreprintBioinformatics

The evolution of high-order genome architecture revealed from 1,000 species

Yizhuo Che, Stephen J. Bush, Hui‐Yi Lin, Mingxuan Li, Xiaofei Yang, Qi Xie, Yuchun Liu, Deyu Meng, Kai Ye

This study uses Hi-C data from 1,025 species to trace the evolution of 3D genome architecture, revealing distinct patterns in global folding and checkerboard structures across different lineages.

Cell · Apr 21, 2026Peer-reviewedEvolutionary Biology

The Restoration of Social Defects in Schizophrenic Mice by Plant Exposure

Mingxuan Li, M. Li, Kai Zhou, Xiangyu Zhang, Shanshan Liu, Yu‐Yu Wu, Xinjian Li

This study shows that plant exposure reduces social and anxious behaviors in a schizophrenia mouse model without affecting locomotion.

bioRxiv · Dec 23, 2024 · PreprintNeuroscience