A Landmark-based Common Coordinate Framework for Spatial Transcriptomics Data

Abstract

1The increasing amount of spatial transcriptomics data prompts for means to amalgamate observations from distinct experiments, especially attractive is to cast quantities from different sources into a common coordinate frame-work (CCF) to relate signals across space. We here present a method that enables transfer of information from multiple samples to a reference representing a CCF, and show its utility by analyzing an assortment of real and synthetic data sets.