| Genome-wide de novo risk score implicates promoter variation in autism spectrum disorder JY An, K Lin, L Zhu, DM Werling, S Dong, H Brand, HZ Wang, X Zhao, ... Science 362 (6420), eaat6576, 2018 | 314 | 2018 |
| A sharp error analysis for the fused lasso, with application to approximate changepoint screening K Lin, JL Sharpnack, A Rinaldo, RJ Tibshirani Advances in neural information processing systems 30, 2017 | 99* | 2017 |
| Post-selection inference for changepoint detection algorithms with application to copy number variation data S Hyun, KZ Lin, M G'Sell, RJ Tibshirani Biometrics 77 (3), 1037-1049, 2021 | 73 | 2021 |
| Bias-adjusted spectral clustering in multi-layer stochastic block models J Lei, KZ Lin Journal of the American Statistical Association 118 (544), 2433-2445, 2023 | 67 | 2023 |
| Statistically and computationally efficient change point localization in regression settings D Wang, Z Zhao, KZ Lin, R Willett Journal of Machine Learning Research 22 (248), 1-46, 2021 | 52 | 2021 |
| Integration of spatial and single-cell data across modalities with weakly linked features S Chen, B Zhu, S Huang, JW Hickey, KZ Lin, M Snyder, WJ Greenleaf, ... Nature biotechnology 42 (7), 1096-1106, 2024 | 43* | 2024 |
| Controlled analyses of social biases in Wikipedia bios A Field, CY Park, KZ Lin, Y Tsvetkov Proceedings of the ACM Web Conference 2022, 2624-2635, 2022 | 29 | 2022 |
| Exponential-family embedding with application to cell developmental trajectories for single-cell RNA-seq data KZ Lin, J Lei, K Roeder Journal of the American Statistical Association 116 (534), 457-470, 2021 | 21 | 2021 |
| A high-throughput platform for single-molecule tracking identifies drug interaction and cellular mechanisms DT McSwiggen, H Liu, R Tan, SA Puig, LB Akella, R Berman, M Bretan, ... Elife 12, RP93183, 2025 | 13 | 2025 |
| Quantifying common and distinct information in single-cell multimodal data with Tilted Canonical Correlation Analysis KZ Lin, NR Zhang Proceedings of the National Academy of Sciences 120 (32), e2303647120, 2023 | 10* | 2023 |
| Covariance-based sample selection for heterogeneous data: Applications to gene expression and autism risk gene detection KZ Lin, H Liu, K Roeder Journal of the American Statistical Association 116 (533), 54-67, 2021 | 10 | 2021 |
| Revisiting compressed sensing: exploiting the efficiency of simplex and sparsification methods R Vanderbei, K Lin, H Liu, L Wang Mathematical Programming Computation 8, 253-269, 2016 | 9* | 2016 |
| eSVD-DE: Cohort-wide differential expression in single-cell RNA-seq data using exponential-family embeddings KZ Lin, Y Qiu, K Roeder BMC bioinformatics 25 (1), 113, 2024 | 4 | 2024 |
| Dynamic clustering for heterophilic stochastic block models with time-varying node memberships KZ Lin, J Lei arXiv preprint arXiv:2403.05654, 2024 | 3 | 2024 |
| Discussion of ‘Network cross-validation by edge sampling’ J Lei, KZ Lin Biometrika 107 (2), 285-287, 2020 | 2 | 2020 |
| Spectral clustering for heterophilic stochastic block models with time-varying node memberships K Lin, J Lei | 1 | 2022 |
| All the single cells: Single‐cell transcriptomics/epigenomics experimental design and analysis considerations for glial biologists KE Prater, KZ Lin Glia, 2024 | | 2024 |
| Assessing RNA velocity stability across synthetic replicates using count splitting Y Li, ZJ Wei, YC Chen, KZ Lin bioRxiv, 2024.11. 23.625009, 2024 | | 2024 |
| Measuring regulatory network inheritance in dividing yeast cells using ordinary differential equations W Wu, T Kennedy, O Arguello-Miranda, KZ Lin bioRxiv, 2024.11. 23.624995, 2024 | | 2024 |
| LCL: Contrastive Learning for Lineage Barcoded scRNA-seq Data SJ Yang, Y Wang, KZ Lin bioRxiv, 2024.10. 28.620670, 2024 | | 2024 |