Author

Lily H. Kim

Stanford MedicineORCID 0000-0002-9272-019XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Organism:human· 2 Organism:mouse· 2 Assay:scRNA-seq· 2 Research Focus:batch correction / integration· 1 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell-cell communication· 1

Frequent Co-Authors

Aaron M. KershneriD· 1 shared Aaron McGeeveriD· 1 shared Aditi AgrawaliD· 1 shared Ahmad Al‐MoujahediD· 1 shared Ahmad N. NabhaniD· 1 shared Alina A. Alam· 1 shared Andy Po‐Yi TsaiiD· 1 shared Ankit S. BagheliD· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperBioinformatics

Aaron M. KershnerORCID

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2 papers

Recent·Most cited

Cross-Species Transcriptomic Integration Reveals a MIRO1-Mediated Macrophage-T Cell Axis in Glioma

Zehui Du, Menghan Li, Brandon Hwa-Lin Bergsneider, Andy Po‐Yi Tsai, Kwang Bog Cho, Lily H. Kim, John Hyunkuk Choi, Gordon Li, Tony Wyss‐Coray, Michael K. Lim, Xinnan Wang

The paper integrates cross-species transcriptomic data to identify a MIRO1-mediated macrophage-T cell axis in glioma that contributes to immunosuppression.

Life Science Alliance · May 13, 2026Peer-reviewedCancer Biology

Adversarial domain translation networks for fast and accurate integration of large-scale atlas-level single-cell datasets

Jia Zhao, Gefei Wang, Jingsi Ming, Zhixiang Lin, Yang Wang, Snigdha Agarwal, Aditi Agrawal, Ahmad Al‐Moujahed, Alina A. Alam, Megan A. Albertelli, Paul Allegakoen, Thomas H. Ambrosi, Jane Antony, Steven E. Artandi, Fabienne Aujard, , Patricia Kim Phuong Nguyen

Portal integrates large-scale single-cell datasets efficiently and accurately by preserving biological variation across samples, platforms, and species.

Nature Computational Science · May 30, 2022Peer-reviewedBioinformatics