Article

Supervised Factorization to Associate Spatial Transcriptomics with Complementary Molecular Readouts

2025-09-30

Abstract excerpt

Spatial Transcriptomics enables studying gene expression data within spatial context of tissues. Yet understanding how spatial molecular phenomena influence transcriptional patterns remains a key challenge. We propose a novel supervised Non-negative Matrix Factorization (NMF) framework, where supervision is selectively and explicitly applied to guide the learning of a supervised spatial factor. This distinguishes...

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Literature Corpus work: 2385f129-f793-5a8b-8670-8ab210b370a1
DOI: 10.1101/2025.09.28.679034

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