Back to search

Article

Unbiased identification of unknown cellular and environmental factors that mediate eQTLs using principal interaction component analysis

2022-07-30

Abstract excerpt

Expression quantitative trait loci (eQTL) can reveal the regulatory mechanisms of trait associated variants. eQTLs are highly cell-type and context-specific, but often these contexts are unknown or not measured. Here, we introduce PICALO (Principal Interaction Component Analysis through Likelihood Optimization), an unbiased method to identify known and hidden contexts that influence eQTLs. PICALO uses expectation...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
cdd0e362-d476-5396-b82d-b029cf518d37
DOI
10.1101/2022.07.28.501849
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Unbiased identification of unknown cellular and environmental factors that mediate eQTLs using principal interaction component analysisDOI 10.1101/2022.07.28.501849
Select a neighboring publication to make it the new centre.