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Stephens lab focuses on statistical computational methods in genetics, utilizing advanced techniques in R programming. The lab works on multiple public R packages aimed at improving statistical analysis in genetics, including methodologies for single effects regression, multivariate adaptive shrinkage, and topic modeling. Research conducted by the lab is characterized by its innovative uses of empirical Bayes methods to enhance statistical precision in genetic studies. With numerous repositories and collaborations within the R community, Stephens lab actively contributes to the scientific landscape through software development and empirical research.
Department of Philosophy