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Proceedings 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|September 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|November 26, 2025
Genetic Convergence Analysis of CRISPR Perturbations Deciphers Gene Functional SimilarityTianyu Zhang, Ergan Shang, Kathryn RoederProceedings of the National Academy of Sciences of the United States of America|March 4, 2021
Integration and transfer learning of single-cell transcriptomes via cFITMinshi Peng, Yue Li, Brie Wamsley, et al.Nucleic Acids Research|June 14, 2021
Cell type hierarchy reconstruction via reconciliation of multi-resolution cluster treeMinshi Peng, Brie Wamsley, Andrew G Elkins, et al.Statistical Science : a Review Journal of the Institute of Mathematical Statistics|August 17, 2010
Genome-Wide Significance Levels and Weighted Hypothesis TestingKathryn Roeder, Larry WassermanAnnals of Statistics|September 29, 2009
HIGH DIMENSIONAL VARIABLE SELECTIONLarry Wasserman, Kathryn RoederGenomics|June 4, 2008
Searching for disease susceptibility variants in structured populationsKathryn Roeder, Diana LucaJournal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America|November 11, 2014
Positive Semidefinite Rank-based Correlation Matrix Estimation with Application to Semiparametric Graph EstimationTuo Zhao, Kathryn Roeder, Han LiuThe Annals of Applied Statistics|May 3, 2016
NETWORK ASSISTED ANALYSIS TO REVEAL THE GENETIC BASIS OF AUTISMLi Liu, Jing Lei, Kathryn RoederPageof 26