Pitfalls and opportunities for applying latent variables in single-cell eQTL analyses

Pitfalls and opportunities for applying latent variables in single-cell eQTL analyses

Abstract 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 m...

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Bibliographic Details
Main Authors: Angli Xue, Seyhan Yazar, Drew Neavin, Joseph E. Powell
Format: Article
Language:English
Published: BMC 2023-02-01
Series:Genome Biology
Subjects:
Single-cell RNA-seq
Pseudo-bulk
Latent variable
PEER factors
Principal component analysis
Normalization
Online Access:https://doi.org/10.1186/s13059-023-02873-5

Internet

https://doi.org/10.1186/s13059-023-02873-5

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