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SR2P: an efficient stacking method to predict protein abundance from gene expression in spatial transcriptomics data

2026-03-07

Abstract excerpt

Spatial transcriptomics data are largely available with RNA expression alone, limiting the detection of cell states defined by surface protein abundance. The lack of multi-omics spatial data limits the ability to identify immune cells and their signaling in the tumor microenvironment, as most solid tumors are immunologically poor and exhibit protein-RNA abundance discordance in critical immune cell surface markers...

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Literature Corpus work
d6b5dfe6-74b7-5943-8b3b-0595dea16d23
DOI
10.64898/2026.03.04.709692
Open publication

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SR2P: an efficient stacking method to predict protein abundance from gene expression in spatial transcriptomics dataDOI 10.64898/2026.03.04.709692
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