Author

Jonathan Ling

Johns Hopkins University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Assay:spatial transcriptomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Cristina P. Martin-LinaresiD· 1 shared Dhanav HandaiD· 1 shared Genevieve Stein-O’BrieniD· 1 shared Uthsav ChitraiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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1 shared paperBioinformatics

Cristina P. Martin-LinaresORCID

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1 paper

Recent·Most cited

Evaluating the ability of spatial transcriptomics foundation models to learn multi-scale spatial variation

Dhanav Handa, Cristina P. Martin-Linares, Genevieve Stein-O’Brien, Jonathan Ling, Uthsav Chitra

This study evaluates spatial transcriptomics foundation models' ability to capture multi-scale spatial variation using SAFFRON, finding that one model better captures global gradients but not local patterns.

bioRxiv · Aug 6, 2026 · PreprintBioinformatics