1 citations · 1 across the 2 of their papers we have counts for
2 papers
stat.ME2022
A flexible model for correlated count data, with application to multi-condition differential expression analyses of single-cell RNA sequencing data
Yusha Liu, Peter Carbonetto, Michihiro Takahama +4
Detecting differences in gene expression is an important part of single-cell RNA sequencing experiments, and many statistical methods have been developed for this aim. Most differe…
stat.ME2020★ 1 cited
Scalable Function-on-Scalar Quantile Regression for Densely Sampled Functional Data
Yusha Liu, Meng Li, Jeffrey S. Morris
Functional quantile regression (FQR) is a useful alternative to mean regression for functional data as it provides a comprehensive understanding of how scalar predictors influence…