Benchmarking cell type deconvolution in spatial transcriptomics and application to cancer immunotherapy
- Framework for realistic benchmarking of spatial deconvolution methods- Marker gene scoring performs robustly for rare cell types across diverse datasets- Single-dose anti-PD1 cancer immunotherapy triggers profound localized response.
Authors
- Yuri Pritykin
- C Brown
- Tamjeed Azad (ORCID: https://orcid.org/0000-0001-6959-5928)
- Amanda Sun
Institutions
- Memorial Sloan Kettering Cancer Center (US)
- Princeton University (US)
Publication Details
- Journal
- bioRxiv (Cold Spring Harbor Laboratory)
- Published
- 2026-01-14
- DOI
- https://doi.org/10.64898/2026.01.13.699379
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 0.00