HIPI: Spatially Resolved Multiplexed Protein Expression Inferred from H&E WSIs
Ron Zeira, Leon Anavy, Zohar Yakhini B…·Daniel Freedman
HIPI predicts cell marker expression from H&E images to infer spatial protein expression in tumors.
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Princeton UniversityORCID 0000-0003-2477-3078Unclaimed ORCID profile · follow to get notified of new preprints
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Ron Zeira, Leon Anavy, Zohar Yakhini B…·Daniel Freedman
HIPI predicts cell marker expression from H&E images to infer spatial protein expression in tumors.
Xinhao Liu, Ron Zeira, Benjamin J. Raphael
PASTE2 aligns and integrates multi-slice spatial transcriptomics data with partial overlap, improving alignment accuracy and enabling 3D gene expression reconstruction.
Ron Zeira, Max Land, Alexander J. Strzalkowski, Benjamin J. Raphael
This paper introduces PASTE, a method for aligning and integrating spatial transcriptomics data across tissue slices by combining transcriptional and spatial information, showing improved accuracy over methods using only one type of information.
Rebecca Elyanow, Ron Zeira, Max Land, Benjamin J. Raphael
STARCH infers copy number aberrations from spatial transcriptomics data by leveraging spatial proximity, outperforming non-spatial methods.