1108-FastGxC: Context-Specific Gene Regulation
The paper introduces FastGxC, a novel statistical method designed to map context-specific eQTLs more efficiently than previous models. By decomposing gene expression into shared and specific components, the tool identifies how genetic variants regulate gene activity across various tissues and cell types while accounting for intra-individual correlations. Research simulations demonstrate that FastGxC is significantly more powerful and faster than existing approaches, reducing computational timelines from years to minutes. Application of the method to GTEx and single-cell datasets reveals that…
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