Luke Harland

Weighted sliced inverse regression for scalable supervised dimensionality reduction of spatial transcriptomics data

Abstract With the dramatic take-up of spatially resolved transcriptomics biotechnologies, performing spatially-aware analysis of the resulting data is crucial to maximise advances in biological understanding. Dimensionality reduction is a first step in almost any analysis of spat...