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Bioinformatics (Oxford, England)|February 24, 2021
ESCO: single cell expression simulation incorporating gene co-expressionJinjin Tian, Jiebiao Wang, Kathryn RoederBrain Research|November 17, 2010
Do common variants play a role in risk for autism? Evidence and theoretical musingsBernie Devlin, Nadine Melhem, Kathryn RoederProceedings of the National Academy of Sciences of the United States of America|December 26, 2025
Predicting the unseen: A diffusion-based debiasing framework for transcriptional response prediction at single-cell resolutionErgan Shang, Yuting Wei, Kathryn RoederBiorxiv : the Preprint Server for Biology|July 3, 2026
TIDEST: post-imputation differential expression testing for spatial transcriptomics dataLorenzo Testa, Jing Lei, Kathryn RoederAMIA ... Annual Symposium Proceedings. AMIA Symposium|May 9, 2015
On Learning and Visualizing Practice-based Clinical Pathways for Chronic Kidney DiseaseYiye Zhang, Rema Padman, Larry WassermanBMC Genomics|January 10, 2015
Robustness of birth-death and gain models for inferring evolutionary eventsMaureen Stolzer, Larry Wasserman, Dannie DurandProceedings of the National Academy of Sciences of the United States of America|July 8, 2020
Universal inferenceLarry Wasserman, Aaditya Ramdas, Sivaraman BalakrishnanJournal of the American Statistical Association|September 20, 2014
Distribution Free Prediction SetsJing Lei, James Robins, Larry WassermanGenome Research|April 10, 2021
Bayesian estimation of cell type-specific gene expression with prior derived from single-cell dataJiebiao Wang, Kathryn Roeder, Bernie DevlinBiorxiv : the Preprint Server for Biology|September 26, 2025
Predicting the unseen: a diffusion-based debiasing framework for transcriptional response prediction at single-cell resolutionErgan Shang, Yuting Wei, Kathryn RoederPageof 47