Article

S3R: Modeling spatially varying associations with Spatially Smooth Sparse Regression

2025-09-11

Abstract excerpt

Spatial transcriptomics (ST) data demands models that recover how associations among molecular and cellular features change across tissue while contending with noise, collinearity, cell mixing, and thousands of predictors. We present Spatially Smooth Sparse Regression (S3R), a general statistical framework that estimates location-specific coefficients linking a response feature to high-dimensional spatial predicto...

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Literature Corpus work: f8603f0b-7a41-5708-a494-cd0c97d6be31
DOI: 10.1101/2025.09.06.674629

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