Article

Scalable multi-group nonnegative spatial factorization for spatial genomics data with cell-type heterogeneity

2026-07-03

Abstract excerpt

Spatial transcriptomics (ST) technologies enable the study of gene expression within the spatial context of tissues, providing insights into tissue structure, cellular interactions, and disease progression. However, existing dimension reduction methods often overlook spatial information or struggle to distinguish spatial gene patterns from those driven by cell-type differences, limiting biological interpretability...

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Literature Corpus work: ff6b9d2f-b24a-528f-8332-31edeb043765
DOI: 10.64898/2026.06.29.735224

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