Author

Yuan Ji

Changping Laboratory, Beijing 102206, China; IDG/McGovern Institute for Brain Research, New Cornerstone Laboratory, Beijing Normal University, Beijing 100875, China;

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Biology Disciplines

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Bioengineering· 1 Cancer Biology· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:clustering· 2 Approach:statistical model· 2 Approach:benchmark study· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Agavni MesropianiD· 1 shared An‐Ping ZengiD· 1 shared Changjiang Zhang· 1 shared Chenchen HaniD· 1 shared Chentong WangiD· 1 shared Chunjun Zhan· 1 shared Dandan Hu· 1 shared Dianfan LiiD· 1 shared

Activity by Year

2026-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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1 shared paperCancer Biology

Agavni MesropianORCID

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Author profile →

3 papers

Recent·Most cited

Stable large-scale network architecture and structured individual variability in the awake mouse brain

Yijuan Zou, Ruilin Tu, Changjiang Zhang, Dandan Hu, Xudong Hou, Wei Wang, Yuan Ji, Yuyuan Jiang, Qian Wang, Yuanlei Yue, Suijuan Zhong, Qian Wu, Xiaoqun Wang

The paper introduces the Awake Mouse Connectome Project (AMCP), a dataset of 212 awake mice, and presents functional network atlases and analysis tools for studying brain connectivity and variability.

bioRxiv · Nov 3, 2026 · PreprintNeuroscience

Toward De Novo Protein Design from Natural Language

Fengyuan Dai, Shiyang You, Yudian Zhu, Yuan Gao, Lihao Fu, Xibin Zhou, Jin Su, Chentong Wang, Yuliang Fan, Qingsong Tan, Xiaoxiao Ma, Xianjun Deng, Letong Yu, Hui Qian, Yan He, , Fajie Yuan

This paper introduces Pinal, a foundation model that designs proteins from natural language descriptions, achieving functional alignment and experimental success in four design tasks.

Nature · Oct 21, 2026Peer-reviewedBioengineering

Molecular insights into early malignant transition of hepatocellular carcinoma

ZhengTao ZHANG, hong li, Lingli Chen, Tao Lu, Xinyi Shentu, Yuanhua Liu, Zhixuan Tang, Shuyi Ji, Zhixin Qiu, Yining Zou, Hong Wen, Jing Han, Zhengzeng Jiang, Jie Fan, Xinbo Gao, , Lijian Hui

This study profiles early hepatocellular carcinomas to reveal molecular mechanisms of malignancy transition, identifying TERT alterations, CNA burden, and immune evasion as key factors.

Cancer Cell · Mar 26, 2026Peer-reviewedCancer Biology