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Biorxiv : the Preprint Server for Biology|June 22, 2026
High-Dimensional Sensitivity Analysis for Genomic Studies: An Adversarial Framework for Learning Worst-Case Latent ConfoundersYifan Lin, Kevin Z LinJournal of the American Statistical Association|March 27, 2024
Bias-adjusted spectral clustering in multi-layer stochastic block modelsJing Lei, Kevin Z LinProceedings of the National Academy of Sciences of the United States of America|July 31, 2023
Quantifying common and distinct information in single-cell multimodal data with Tilted Canonical Correlation AnalysisKevin Z Lin, Nancy R ZhangGlia|November 19, 2024
All the single cells: Single-cell transcriptomics/epigenomics experimental design and analysis considerations for glial biologistsKatherine E Prater, Kevin Z LinJournal 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 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 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|June 4, 2026
Leveraging Lineage Barcodes as Natural Augmentations for Contrastive Learning of Cell Fate in scRNA-seq DataShizhao Joshua Yang, Yixin Wang, Kevin Z LinBiorxiv : the Preprint Server for Biology|April 17, 2026
SCOPE: Localizing fate-decision states and their regulatory drivers in single-cell differentiationYimin Zhao, Connor Finkbeiner, Manu Setty, et al.Pageof 19