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stat.CO2021
ebnm: An R Package for Solving the Empirical Bayes Normal Means Problem Using a Variety of Prior Families
Jason Willwerscheid, Peter Carbonetto, Matthew Stephens
The empirical Bayes normal means (EBNM) model is important to many areas of statistics, including (but not limited to) multiple testing, wavelet denoising, and gene expression anal…
stat.ME2021★ 1 cited
Multi-scale Poisson process approaches for differential expression analysis of high-throughput sequencing data
Heejung Shim, Zhengrong Xing, Ester Pantaleo +3
Estimating and testing for differences in molecular phenotypes (e.g. gene expression, chromatin accessibility, transcription factor binding) across conditions is an important part…