3 papers
stat.ME2026
Causal Path Analysis from Perturbational and Population-Scale Single-Cell Data with Multiscale Confounding and Measurement Error
Kwangmoon Park, Hongzhe Li
Single-cell perturbation experiments provide causal information on gene regulation, whereas population-scale single-cell studies characterize gene expression and phenotypes in huma…
stat.ME2026
Confounder-robust causal discovery and inference in Perturb-seq using proxy and instrumental variables
Kwangmoon Park, Hongzhe Li
Emerging single-cell technologies that combine CRISPR-based genetic perturbations with single-cell RNA sequencing, such as Perturb-seq, offer unprecedented opportunities to uncover…
stat.ME2023
Sparse higher order partial least squares for simultaneous variable selection, dimension reduction, and tensor denoising
Kwangmoon Park, Sündüz Keleş
Partial Least Squares (PLS) regression emerged as an alternative to ordinary least squares for addressing multicollinearity in a wide range of scientific applications. As multidime…