Author

A Chang

University of ChicagoORCID 0000-0002-6877-5510Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Organism:human· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:imaging· 1 Assay:spatial transcriptomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Gabriel CasellaiD· 2 shared Junting Ai· 2 shared Madeleine S. DurkeeiD· 2 shared Marcus R. ClarkiD· 2 shared Maryellen Lissak GigeriD· 2 shared Thao CaoiD· 2 shared Anita S. ChongiD· 1 shared Ariel Halper-Stromberg· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

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2 shared papersImmunology

Gabriel CasellaORCID

Mutual co-authors in cluster

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2 papers

Recent·Most cited

High-dimensional spatial proteomics and novel machine learning pipeline identifies disease specific renal damage states

Thao Cao, Madeleine S. Durkee, Junting Ai, Satoshi Hara, Michael S. Andrade, A Chang, Gabriel Casella, Anita S. Chong, Maryellen Lissak Giger, Marcus R. Clark

The paper uses high-dimensional spatial proteomics and a machine learning pipeline to identify and quantify disease-specific renal damage states in lupus nephritis and renal allograft rejection.

bioRxiv · Jan 15, 2026 · PreprintImmunology

Pseudo-spectral angle mapping for automated pixel-level analysis of highly multiplexed tissue image data

Madeleine S. Durkee, Junting Ai, Gabriel Casella, Thao Cao, Anthony Chang, Ariel Halper-Stromberg, Bana Jabrì, Marcus R. Clark, Maryellen Lissak Giger

This paper introduces pSAM, a method for analyzing high-plex immunofluorescence images, and shows it can generalize across different staining panels and tissues without manual annotation.

bioRxiv · Jan 9, 2024 · PreprintBioinformatics