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Environmental pathways affecting gene expression (E.PAGE) as an R package to predict gene-environment associations.

Sci Rep · 2022 · PMC9636158 · PMID 36333579

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highly significantno p-value reported
After processing the data using the Seurat pipeline and analyzing the single-cell expression data, gene set enrichment identified Epithelial gene expression, Cigarette smoking , Airway epithelium , and Chronic obstructive pulmonary disease as the top gene modules with highly significant p-values, confirming that smoking-related pathways were correctly predicted using E.PAGE (Table 7 ).

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