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Author

Harald Vöhringer

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Open access Jul 2026

Spatialproteomics: an interoperable toolbox for analyzing highly multiplexed fluorescence image data

This work demonstrates an end-to-end analysis from raw images to statistical characterization of how cell type composition and spatial distribution vary across indolent and aggressive lymphomas and presents a Python-based toolbox that supports end-to-end analysis of highly multiplexed imaging data.

Matthias Meyer-Bender, Harald Vöhringer, C. Schniederjohann et al. · 1 citation
Open access Feb 2025

Semi-supervised Omics Factor Analysis (SOFA) disentangles known and latent sources of variation in multi-omic data

This work presents Semi-supervised Omics Factor Analysis (SOFA), a method that incorporates known covariates into the model upfront and focuses the factor discovery on novel sources of variation.

Tümay Capraz, Harald Vöhringer, Klaus Sebastian Augusto Kruger Serrano et al. · 3 citations

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