Overcoming false-positive gene-category enrichment in the analysis of spatially resolved transcriptomic brain atlas data

Abstract

Identifying enriched gene sets in transcriptomic data is routine analysis. Here, the authors show that conventional gene category enrichment analysis (GCEA) applied to brain-wide atlas data yields biased results and develop a flexible ensemble-based null model framework to enable appropriate inference in GCEA.