Author

Qi Liu

Vanderbilt University Medical CenterORCID 0000-0002-6113-856XUnclaimed ORCID profile · follow to get notified of new preprints

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Qi Liu17 papers · Tongji University

Biology Disciplines

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Bioinformatics· 2 Immunology· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:imaging· 2 Research Focus:batch correction / integration· 1 Approach:contrastive learning· 1 Research Focus:drug response / drug discovery· 1 Approach:genetic perturbation / CRISPR· 1 Research Focus:spatial domain detection· 1 Approach:statistical model· 1

Frequent Co-Authors

Ken S. LauiD· 2 shared Simon VandekariD· 2 shared Alexander LiniD· 1 shared Alexander MarsoniD· 1 shared Charlotte H. WangiD· 1 shared Coleman R. HarrisiD· 1 shared Daniel MoyeriD· 1 shared Eliot T. McKinleyiD· 1 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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2 shared papersBioinformatics

Ken S. LauORCID

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Author profile →

3 papers

Recent·Most cited

BASSL-MI: Batch-Agnostic Self-Supervised Learning Uncovers Clinically Relevant Tumor Niches in Multiplexed Imaging

Alexander Lin, Shunxing Bao, Ken S. Lau, Simon Vandekar, Daniel Moyer, Qi Liu, Siyuan Ma

BASSL-MI uses self-supervised learning to identify clinically relevant tumor niches in multiplexed imaging without requiring cell segmentation.

IEEE International Symposium on Biomedical Imaging (ISBI) · Apr 8, 2026Peer-reviewedBioinformatics

In vivo genome-wide CRISPR screens in human T cells to enhance T cell therapy for solid tumors

Qi Liu, Peixin Amy Chen, Esha Urs, Shimin Zhang, Maya M. Arce, Charlotte H. Wang, Zhongmei Li, Jin Seo, Nupura Kale, Taylor N. LaFlam, Fanglue Peng, Eric Shifrut, Greg M. Allen, Justin Eyquem, Katherine Cynthia Fuh, , Julia C. Carnevale

This paper performs in vivo CRISPR screens in human T cells to identify genetic modifiers of T cell function in solid tumors, finding P2RY8-G13 and GNAS as key regulators.

bioRxiv · Sep 23, 2025 · PreprintImmunology

Quantifying and correcting slide-to-slide variation in multiplexed immunofluorescence images

Coleman R. Harris, Eliot T. McKinley, Joseph T. Roland, Qi Liu, Martha J. Shrubsole, Ken S. Lau, Robert J. Coffey, Julia Wrobel, Simon Vandekar

This paper quantifies slide-to-slide variation in multiplexed immunofluorescence data and introduces normalization methods to correct it, showing that dividing by slide mean and functional data registration perform best.

Bioinformatics · Dec 31, 2021Peer-reviewedBioinformatics