Pitfalls and opportunities for applying latent variables in single-cell eQTL analyses
Pitfalls and opportunities for applying latent variables in single-cell eQTL analyses
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England: BioMed Central Ltd
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English
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England: BioMed Central Ltd
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Using latent variables in gene expression data can help correct unobserved confounders and increase statistical power for expression quantitative trait Loci (eQTL) detection. The probabilistic estimation of expression residuals (PEER) and principal component analysis (PCA) are widely used methods that can remove unwanted variation and improve eQTL...
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Pitfalls and opportunities for applying latent variables in single-cell eQTL analyses
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TN_cdi_doaj_primary_oai_doaj_org_article_7b48ecde7c0c4840b123b9f8fdc5d896
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_7b48ecde7c0c4840b123b9f8fdc5d896
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ISSN
1474-760X,1474-7596
E-ISSN
1474-760X
DOI
10.1186/s13059-023-02873-5
