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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.ME2022★ 7 cited
A flexible empirical Bayes approach to multiple linear regression and connections with penalized regression
Youngseok Kim, Wei Wang, Peter Carbonetto +1
We introduce a new empirical Bayes approach for large-scale multiple linear regression. Our approach combines two key ideas: (i) the use of flexible "adaptive shrinkage" priors, wh…