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The Annals of Applied Statistics|October 31, 2017
TESTING HIGH-DIMENSIONAL COVARIANCE MATRICES, WITH APPLICATION TO DETECTING SCHIZOPHRENIA RISK GENESLingxue Zhu, Jing Lei, Bernie Devlin, et al.
Proceedings of the National Academy of Sciences of the United States of America|January 18, 2018
Global spectral clustering in dynamic networksFuchen Liu, David Choi, Lu Xie, et al.
The Annals of Applied Statistics|September 4, 2018
A UNIFIED STATISTICAL FRAMEWORK FOR SINGLE CELL AND BULK RNA SEQUENCING DATALingxue Zhu, Jing Lei, Bernie Devlin, et al.
Biological Psychiatry. Cognitive Neuroscience and Neuroimaging|April 30, 2023
Neurobiological Clusters Are Associated With Trajectories of Overall Psychopathology in YouthCatherine Wang, Rebecca Hayes, Kathryn Roeder, et al.
Proceedings of the National Academy of Sciences of the United States of America|June 12, 2020
A selective inference approach for false discovery rate control using multiomics covariates yields insights into disease riskRonald Yurko, Max G'Sell, Kathryn Roeder, et al.
American Journal of Human Genetics|January 10, 2006
Using linkage genome scans to improve power of association in genome scansKathryn Roeder, Silvi-Alin Bacanu, Larry Wasserman, et al.
American Journal of Human Genetics|March 1, 2003
On the identification of disease mutations by the analysis of haplotype similarity and goodness of fitJung-Ying Tzeng, B Devlin, Larry Wasserman, et al.
Biorxiv : the Preprint Server for Biology|January 27, 2025
AUGMENTED DOUBLY ROBUST POST-IMPUTATION INFERENCE FOR PROTEOMIC DATAHaeun Moon, Jin-Hong DU, Jing Lei, et al.
Briefings in Bioinformatics|April 15, 2026
Uncovering causal relationships in single-cell omic studies with causarrayJin-Hong Du, Maya Shen, Hansruedi Mathys, et al.
Biorxiv : the Preprint Server for Biology|February 20, 2025
Causal differential expression analysis under unmeasured confounders with causarrayJin-Hong Du, Maya Shen, Hansruedi Mathys, et al.
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