Author

Yijun Li

Harvard UniversityORCID 0000-0003-0513-9565Unclaimed ORCID profile · follow to get notified of new preprints

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Yijun Li1 paper · Beijing Key Laboratory of Artiffcial Intelligence for Advanced Chemical Engineering Materials, State Key Laboratory of Chemical Engineering and Low-Carbon Technology, Department of Chemical Engineering, Tsinghua University, Beijing 100084, China;

Biology Disciplines

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Bioinformatics· 2

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Approach:benchmark study· 1 Research Focus:benchmarking· 1 Organism:human· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1 Research Focus:protein structure prediction· 1 Assay:spatial transcriptomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Abdallah LamaneiD· 1 shared Abdul Rahman DiabiD· 1 shared Bing HeiD· 1 shared James R. LindsayiD· 1 shared Jian KangiD· 1 shared Lana X. GarmireiD· 1 shared Qianhui HuangiD· 1 shared Rafael A. IrizarryiD· 1 shared

Activity by Year

2021-2026 · peak 1/yr

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10 top collaborators · 20 mutual co-author links

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1 shared paperBioinformatics

Abdallah LamaneORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintOct 13, 2026

Pan-cancer estimation of prognostic immune biomarkers from histopathology using artificial intelligence

Yijun Li, Abdul Rahman Diab, Abdallah Lamane…·William E. Lotter

This paper develops an AI model to estimate immune biomarkers from H&E images, showing it can predict prognostic outcomes as effectively as costly mIF assays.

DOI 10.64898/2026.10.06.757083

𝕏 PostBluesky

BioinformaticsbioRxivPreprintAug 27, 2021

Benchmarking Computational Integration Methods for Spatial Transcriptomics Data

Yijun Li, Stefan Stanojevic, Bing He…·Lana X. Garmire

This study benchmarks integration methods for spatial transcriptomics data, showing that combining highly variable and spatially variable genes improves clustering performance.

7 citations

spatial transcriptomicsstatistical model

𝕏 PostBluesky