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Article

Sparse deconvolution of cell type medleys in spatial transcriptomics

2025-02-08

Abstract excerpt

Mapping cell distributions across spatial locations with whole-genome coverage is essential for understanding cellular responses and signaling pathways. However, current deconvolution models often assume strong overlap between reference and spatial datasets, neglecting biological constraints like sparsity and cell-type variations. As a result, these methods rely on brute-force algorithms that ignore tissue complex...

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Literature Corpus work
0c18268b-5aeb-5afe-b01d-23a978992a0e
DOI
10.1101/2025.02.07.637009
Open publication

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Sparse deconvolution of cell type medleys in spatial transcriptomicsDOI 10.1101/2025.02.07.637009
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