Author

Li'ang Lin

BGI Research

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

Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Luni Hu· 2 shared Qiang KangiD· 2 shared Tianyi XiaiD· 2 shared Ziqing DengiD· 2 shared Ao CheniD· 1 shared Bogdan Jovanovic· 1 shared Bojana Josic· 1 shared Chao LiuiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 40 mutual co-author links

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2 shared papersBioinformatics

Luni Hu

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2 papers

Recent·Most cited

BiOmics: A Foundational Agent for Grounded and Autonomous Multi-omics Interpretation

Lei Cao, Yuntian Li, Hua Qin, Yanbang Shang, Yilin Zhang, Bogdan Jovanovic, Lazar Djokic, Tianyi Xia, Luni Hu, Haiyang Hou, Xingxing Ning, Li'ang Lin, Hao Qiu, Ziqing Deng, Yuxiang Li, , Qiang Kang

BiOmics introduces an AI agent that improves multi-omics interpretation by combining reasoning and embedding spaces, outperforming existing methods in variant discovery, cell annotation, and drug repurposing.

bioRxiv · Jan 20, 2026 · PreprintBioinformatics

Stereopy: modeling comparative and spatiotemporal cellular heterogeneity via multi-sample spatial transcriptomics

Shuangsang Fang, Mengyang Xu, Lei Cao, Xiaobin Liu, Marija Bezulj, Liwei Tan, Zhiyuan Yuan, Yao Li, Tianyi Xia, Longyu Guo, Vladimir Kovačević, Junhou Hui, Lidong Guo, Chao Liu, Mengnan Cheng, , Xun Xu

Stereopy provides a framework for analyzing multi-sample spatial transcriptomics data to model comparative and spatiotemporal cellular heterogeneity through three key algorithms.

Nature Communications · Apr 21, 2025Peer-reviewedBioinformatics