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Proceedings of the National Academy of Sciences of the United States of America|August 15, 2022
Model-free prediction test with application to genomics dataZhanrui Cai, Jing Lei, Kathryn RoederBiostatistics (Oxford, England)|April 22, 2024
Exponential family measurement error models for single-cell CRISPR screensTimothy Barry, Kathryn Roeder, Eugene KatsevichBiorxiv : the Preprint Server for Biology|November 26, 2025
Genetic Convergence Analysis of CRISPR Perturbations Deciphers Gene Functional SimilarityTianyu Zhang, Ergan Shang, Kathryn RoederBiometrics|March 11, 2024
From local to global gene co-expression estimation using single-cell RNA-seq dataJinjin Tian, Jing Lei, Kathryn RoederBioinformatics (Oxford, England)|August 11, 2019
Using multiple measurements of tissue to estimate subject- and cell-type-specific gene expressionJiebiao Wang, Bernie Devlin, Kathryn RoederAnnual Review of Genomics and Human Genetics|April 21, 2017
The Yin and Yang of Autism Genetics: How Rare De Novo and Common Variations Affect LiabilityPauline Chaste, Kathryn Roeder, Bernie DevlinJournal of the American Statistical Association|December 9, 2024
Asymptotic Distribution-Free Independence Test for High Dimension DataZhanrui Cai, Jing Lei, Kathryn RoederBiometrika|May 17, 2023
Gradient-based sparse principal component analysis with extensions to online learningYixuan Qiu, Jing Lei, Kathryn RoederJournal of the American Statistical Association|March 18, 2021
Covariance-based sample selection for heterogeneous data: Applications to gene expression and autism risk gene detectionKevin Z Lin, Han Liu, Kathryn RoederThe Annals of Applied Statistics|August 7, 2010
A SPECTRAL GRAPH APPROACH TO DISCOVERING GENETIC ANCESTRYAnn B Lee, Diana Luca, Kathryn RoederPageof 47