Using case studies applying GCEA to a range of structural connectomic and cell density phenotypes in mouse and human brains, we show that highly significant categories under conventional GCEA are often consistent with ensembles of randomized phenotypes.
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Overcoming false-positive gene-category enrichment in the analysis of spatially resolved transcriptomic brain atlas data.
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