Chaozhong Liu

Jan 23, 2025 | digitalcommons.library.tmc.edu | Linhua Wang |Chaozhong Liu |Yang Gao |Xiang Zhang

SUMMARY: In the era where transcriptome profiling moves toward single-cell and spatial resolutions, the traditional co-expression analysis lacks the power to fully utilize such rich information to unravel spatial gene associations. Here, we present a Python package called Spatial Enrichment Analysis of Gene Associations using L-index (SEAGAL) to detect and visualize spatial gene correlations at both single-gene and gene-set levels.