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Mats Nilsson

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Open access Sep 2026

Highly resolved tumor architecture via matched spatial and nucleus transcriptomics from a single tissue section

Spatial transcriptomics often relies on reference-based deconvolution to infer cell types in a tissue context; however, public single-cell datasets can miss patient-specific biology. Here we introduce SIMPlex, a method that generates matched spatial and single-nucleus gene-expression profiles from the same 5 µm FFPE se...

Marcos Tito Machado, Meng-Xiao He, L. A. Galicia et al. · 0 citations
Open access Aug 2026

Multi-scale modeling of human tissues from spatial transcriptomics with TERRA

Spatial transcriptomics maps gene expression at cellular resolution, revealing how cells organize into multicellular niches. Yet computational analyses remain dataset-specific, without a transferable representation of tissue organization that generalizes across datasets, tasks and tissues or predicts how tissues behave...

Sebastian Birk, M. V. Sanian, Amirhossein Vahidi et al. · 4 citations · ⚡1

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