Scalable and model-free detection of spatial patterns and colocalization
GENOME RESEARCH(2022)
摘要
The expeditious growth in spatial omics technologies enables the profiling of genome-wide molecular events at molecular and single-cell resolution, highlighting a need for fast and reliable methods to characterize spatial patterns. We developed SpaGene, a model-free method to discover spatial patterns rapidly in large-scale spatial omics studies. Analyzing simulation and a variety of spatially resolved transcriptomics data showed that SpaGene is more powerful and scalable than existing methods. Spatial expression patterns identified by SpaGene reconstruct unobserved tissue structures. SpaGene also successfully discovers ligand-receptor interactions through their colocalization.
更多查看译文
关键词
spatial patterns,detection,colocalization,model-free
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络