Author

Lina Takemaru

Children's Hospital of PhiladelphiaORCID 0000-0002-7743-8532Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Assay:CITE-seq· 1 Approach:deep learning· 1 Organism:human· 1 Assay:imaging· 1 Research Focus:imputation· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Amy E. BaxteriD· 2 shared Dokyoon KimiD· 2 shared Jonghyun LeeiD· 2 shared Matthew LeeiD· 2 shared Akira Nair· 1 shared Allison R. GreenplateiD· 1 shared Angela Ge· 1 shared Ayman RezkiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 40 mutual co-author links

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2 shared papersBioinformatics

Amy E. BaxterORCID

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Author profile →

2 papers

Recent·Most cited

Decomposing scanner batch effects and their impact on pathology foundation models

Jonghyun Lee, Lina Takemaru, Yutong Zhu, William Sullivan, Matthew Lee, Angela Ge, Portia A. Kreiger, Amy E. Baxter, Zhi Huang, Dokyoon Kim, Derek A. Oldridge

This study decomposes scanner batch effects in pathology foundation models and shows that image corrections based on measured properties improve alignment but do not fully match model representations.

bioRxiv · Oct 14, 2026 · PreprintBioinformatics

Limits of marker information transfer]{Limits of marker information transfer in cross-panel cytometry imputation

Jonghyun Lee, Akira Nair, Chang-Uk Jeong, Matei Ionita, Jaehyun Joo, Matthew Lee, Lina Takemaru, Yonghyun Nam, Jaesik Kim, Byounghan Lee, Michelle L. McKeague, Shwetank Verma, Ayman Rezk, David Smith, Sokratis A. Apostolidis, , Dokyoon Kim

This study evaluates the limits of marker information transfer in cross-panel cytometry imputation, finding that imputation preserves broad lineage classification but not fine-phenotype details, and that patient matching improves cross-platform distribution recovery.

bioRxiv · Oct 14, 2026 · PreprintBioinformatics