Weighted sliced inverse regression for scalable supervised dimensionality reduction of spatial transcriptomics data
Maximilian Woollard, Pratibha Panwar, Luke T. G. Harland…·Linh H. Nghiem
This paper introduces wSIR, a scalable supervised dimensionality reduction method for spatial transcriptomics data, which retains predictive power of spatial coordinates and is demonstrated on breast cancer and embryonic development datasets.