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• W2113414803 startingPage "r61" @default.
• W2113414803 abstract "Expression quantitative trait loci (eQTL) mapping is a tool that can systematically identify genetic variation affecting gene expression. eQTL mapping studies have shown that certain genomic locations, referred to as regulatory hotspots, may affect the expression levels of many genes. Recently, studies have shown that various confounding factors may induce spurious regulatory hotspots. Here, we introduce a novel statistical method that effectively eliminates spurious hotspots while retaining genuine hotspots. Applied to simulated and real datasets, we validate that our method achieves greater sensitivity while retaining low false discovery rates compared to previous methods." @default.
• W2113414803 created "2016-06-24" @default.
• W2113414803 creator A5008769328 @default.
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• W2113414803 date "2014-01-01" @default.
• W2113414803 modified "2023-09-23" @default.
• W2113414803 title "Effectively identifying regulatory hotspots while capturing expression heterogeneity in gene expression studies" @default.
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• W2113414803 doi "https://doi.org/10.1186/gb-2014-15-4-r61" @default.
• W2113414803 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4053820" @default.
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• W2113414803 hasPublicationYear "2014" @default.
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