Zdeblick, Shea-Brown, Witten, and Buice (2019). Data-driven discovery of functional cell types that improve models of neural activity. <i>NeurIPS Neuro-AI Workshop</i>. [paper] Read More 2019Daniela WittenJanuary 20, 2020
Martin, Witten, and Willis (2019) Modeling microbial abundances and dysbiosis with beta-binomial regression. <i> Annals of Applied Statistics</i> 14(1): 94-115. [paper] [software] Read More 2019Daniela WittenJuly 3, 2019
Rentzsch et al. (2019) CADD: Predicting the deleteriousness of variants throughout the human genome. <i>Nucleic Acids Research</i> 47(D1): D886- D894. [paper] [software] Read More 2019Daniela WittenMay 20, 2019
Wu and Witten (2019) Flexible and interpretable models for survival data. <i>Journal of Computational and Graphical Statistics</i> 28(4): 954-966. [paper] [software] Read More 2019Daniela WittenMay 20, 2019
Yu, Bien, and Witten (2019) Discussion of “Covariate-assisted ranking and screening for large-scale ...” <i>Journal of the Royal Statistical Society, Series B</i> 81(2): 229-231. [paper] Read More 2019Daniela WittenMay 20, 2019
Jewell and Witten (2019) Discussion of “Gene hunting with hidden Markov model knockoffs”. <i>Biometrika</i> 106(1): 23-26. [paper] Read More 2019Daniela WittenMay 20, 2019
