1282-CODA: Integrative Spatial Transcriptomics Alignment

Paper Talk · Jul 15, 2026 · 22m

This article introduces CODA, a computational framework designed to integrate and analyze multi-sample spatial transcriptomics (ST) data. The authors address common technical challenges such as tissue distortion, non-overlapping regions, and batch effects by utilizing a shared low-dimensional feature space for global and local alignment. Unlike existing methods that focus solely on spatial registration, CODA enables downstream spatial analysis to identify spatially consistent genes (SCGs) and spatially differential genes (SDGs). Benchmarking across diverse platforms, including 10x Visium…