Supervised Factorization to Associate Spatial Transcriptomics with Complementary Molecular Readouts

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 superv... View More