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Journal of the American Statistical Association|January 29, 2024
Sparse Reduced Rank Huber Regression in High DimensionsKean Ming Tan, Qiang Sun, Daniela WittenBiostatistics (Oxford, England)|April 6, 2016
Hypothesis testing for differentially correlated featuresElisa Sheng, Daniela Witten, Xiao-Hua ZhouNature Communications|July 10, 2023
nnSVG for the scalable identification of spatially variable genes using nearest-neighbor Gaussian processesLukas M Weber, Arkajyoti Saha, Abhirup Datta, et al.The Annals of Applied Statistics|September 28, 2020
MODELING MICROBIAL ABUNDANCES AND DYSBIOSIS WITH BETA-BINOMIAL REGRESSIONBryan D Martin, Daniela Witten, Amy D WillisProceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence|July 14, 2015
Pathway Graphical LassoMaxim Grechkin, Maryam Fazel, Daniela Witten, et al.Scientific Reports|July 16, 2021
Tree-aggregated predictive modeling of microbiome dataJacob Bien, Xiaohan Yan, Léo Simpson, et al.Journal of the American Statistical Association|June 22, 2023
Sparse Identification and Estimation of Large-Scale Vector AutoRegressive Moving AveragesInes Wilms, Sumanta Basu, Jacob Bien, et al.Biorxiv : the Preprint Server for Biology|June 19, 2023
Condition-dependent fitness effects of large synthetic chromosome amplificationsAbigail Keller, Lucy L Gao, Daniela Witten, et al.The Annals of Applied Statistics|July 24, 2023
MODELING CELL POPULATIONS MEASURED BY FLOW CYTOMETRY WITH COVARIATES USING SPARSE MIXTURE OF REGRESSIONSBy Sangwon Hyun, Mattias Rolf Cape, Francois Ribalet, et al.Biostatistics (Oxford, England)|December 13, 2022
Inference after latent variable estimation for single-cell RNA sequencing dataAnna Neufeld, Lucy L Gao, Joshua Popp, et al.Pageof 7