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Journal of the American Statistical Association|August 6, 2021
Exponential-Family Embedding With Application to Cell Developmental Trajectories for Single-Cell RNA-Seq DataKevin Z Lin, 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 RoederBiorxiv : the Preprint Server for Biology|December 4, 2023
eSVD-DE: Cohort-wide differential expression in single-cell RNA-seq data using exponential-family embeddingsKevin Z Lin, Yixuan Qiu, Kathryn RoederBMC Bioinformatics|March 15, 2024
eSVD-DE: cohort-wide differential expression in single-cell RNA-seq data using exponential-family embeddingsKevin Z Lin, Yixuan Qiu, Kathryn RoederThe Annals of Applied Statistics|May 3, 2016
NETWORK ASSISTED ANALYSIS TO REVEAL THE GENETIC BASIS OF AUTISMLi Liu, Jing Lei, Kathryn RoederBiorxiv : the Preprint Server for Biology|July 3, 2026
TIDEST: post-imputation differential expression testing for spatial transcriptomics dataLorenzo Testa, Jing Lei, Kathryn RoederJournal of the American Statistical Association|December 9, 2024
Asymptotic Distribution-Free Independence Test for High Dimension DataZhanrui Cai, Jing Lei, Kathryn RoederProceedings 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 RoederBiometrics|March 11, 2024
From local to global gene co-expression estimation using single-cell RNA-seq dataJinjin Tian, Jing Lei, Kathryn RoederBiometrika|May 17, 2023
Gradient-based sparse principal component analysis with extensions to online learningYixuan Qiu, Jing Lei, Kathryn RoederPageof 70