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Nature Communications|February 29, 2020
Multi-resolution localization of causal variants across the genomeMatteo Sesia, Eugene Katsevich, Stephen Bates, et al.Nature Communications|April 9, 2020
Publisher Correction: Multi-resolution localization of causal variants across the genomeMatteo Sesia, Eugene Katsevich, Stephen Bates, 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 RoederGenetic Epidemiology|June 19, 2003
Evolutionary-based association analysis using haplotype dataHoward Seltman, Kathryn Roeder, B DevlinProceedings of the National Academy of Sciences of the United States of America|December 14, 2021
Constructing local cell-specific networks from single-cell dataXuran Wang, David Choi, Kathryn RoederBioinformatics (Oxford, England)|February 24, 2021
ESCO: single cell expression simulation incorporating gene co-expressionJinjin Tian, Jiebiao Wang, Kathryn RoederPageof 21