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Article

Efficient count-based models improve power and robustness for large-scale single-cell eQTL mapping

2025-01-19

Abstract excerpt

Population-scale single-cell transcriptomic technologies (scRNA-seq) enable characterizing variant effects on gene regulation at the cellular level (e.g., single-cell eQTLs; sc-eQTLs). However, existing sc-eQTL mapping approaches are either not designed for analyzing sparse counts in scRNA-seq data or can become intractable in extremely large datasets. Here, we propose jaxQTL, a flexible and efficient sc-eQTL mapp...

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Literature Corpus work
9b53e51a-29d3-523c-af86-0fc4fc21fe03
DOI
10.1101/2025.01.18.25320755
Open publication

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Efficient count-based models improve power and robustness for large-scale single-cell eQTL mappingDOI 10.1101/2025.01.18.25320755
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