| COMPASS identifies T-cell subsets correlated with clinical outcomes L Lin, G Finak, K Ushey, C Seshadri, TR Hawn, N Frahm, TJ Scriba, ... Nature biotechnology 33 (6), 610-616, 2015 | 287 | 2015 |
| Hierarchical modeling for rare event detection and cell subset alignment across flow cytometry samples A Cron, C Gouttefangeas, J Frelinger, L Lin, SK Singh, CM Britten, ... PLoS computational biology 9 (7), e1003130, 2013 | 91 | 2013 |
| Explaining deep learning models--A bayesian non-parametric approach W Guo, S Huang, Y Tao, X Xing, L Lin Advances in neural information processing systems 31, 2018 | 58 | 2018 |
| A functional toll-interacting protein variant is associated with Bacillus calmette-guérin–specific immune responses and tuberculosis JA Shah, M Musvosvi, M Shey, DJ Horne, RD Wells, GJ Peterson, JS Cox, ... American journal of respiratory and critical care medicine 196 (4), 502-511, 2017 | 44 | 2017 |
| A computational framework to assess genome-wide distribution of polymorphic human endogenous retrovirus-K In human populations W Li, L Lin, R Malhotra, L Yang, R Acharya, M Poss PLoS computational biology 15 (3), e1006564, 2019 | 33 | 2019 |
| Curbing the COVID-19 pandemic with facility-based isolation of mild cases: a mathematical modeling study S Chen, Q Chen, J Yang, L Lin, L Li, L Jiao, P Geldsetzer, C Wang, ... Journal of Travel Medicine 28 (2), taaa226, 2021 | 32 | 2021 |
| T cell responses against mycobacterial lipids and proteins are poorly correlated in South African adolescents C Seshadri, L Lin, TJ Scriba, G Peterson, D Freidrich, N Frahm, ... The Journal of Immunology 195 (10), 4595-4603, 2015 | 30 | 2015 |
| Identification and visualization of multidimensional antigen‐specific T‐cell populations in polychromatic cytometry data L Lin, J Frelinger, W Jiang, G Finak, C Seshadri, PA Bart, G Pantaleo, ... Cytometry Part A 87 (7), 675-682, 2015 | 29 | 2015 |
| From physical to cyber: Escalating protection for personalized auto insurance L Guan, J Xu, S Wang, X Xing, L Lin, H Huang, P Liu, W Lee Proceedings of the 14th ACM Conference on Embedded Network Sensor Systems CD …, 2016 | 27 | 2016 |
| Hierarchical Bayesian mixture modelling for antigen-specific T-cell subtyping in combinatorially encoded flow cytometry studies L Lin, C Chan, SR Hadrup, TM Froesig, Q Wang, M West Statistical applications in genetics and molecular biology 12 (3), 309-331, 2013 | 23 | 2013 |
| Optimal transport, mean partition, and uncertainty assessment in cluster analysis J Li, B Seo, L Lin Statistical Analysis and Data Mining: The ASA Data Science Journal 12 (5 …, 2019 | 22 | 2019 |
| Discriminative variable subsets in Bayesian classification with mixture models, with application in flow cytometry studies L Lin, C Chan, M West Biostatistics 17 (1), 40-53, 2016 | 20 | 2016 |
| C De Rosa S, McElrath MJ, Gottardo R. 2015. COMPASS identifies T-cell subsets correlated with clinical outcomes L Lin, G Finak, K Ushey, C Seshadri, TR Hawn, N Frahm, TJ Scriba, ... Nat Biotechnol 33 (6), 610-6, 0 | 19 | |
| Optimization of a highly standardized carboxyfluorescein succinimidyl ester flow cytometry panel and gating strategy design using discriminative information measure evaluation C Chan, L Lin, J Frelinger, V Hérbert, D Gagnon, C Landry, RP Sékaly, ... Cytometry Part A 77 (12), 1126-1136, 2010 | 18 | 2010 |
| Bayesian multidimensional scaling procedure with variable selection L Lin, DKH Fong Computational Statistics & Data Analysis 129, 1-13, 2019 | 16 | 2019 |
| Defending against adversarial samples without security through obscurity W Guo, Q Wang, K Zhang, AG Ororbia, S Huang, X Liu, CL Giles, L Lin, ... 2018 IEEE International Conference on Data Mining (ICDM), 137-146, 2018 | 15 | 2018 |
| CPS analysis: self-contained validation of biomedical data clustering L Zhang, L Lin, J Li Bioinformatics 36 (11), 3516-3521, 2020 | 14 | 2020 |
| Retrovirus insertion site analysis of LGL leukemia patient genomes W Li, L Yang, RS Harris, L Lin, TL Olson, CE Hamele, DJ Feith, ... BMC Medical Genomics 12, 1-12, 2019 | 14 | 2019 |
| Clustering with hidden Markov model on variable blocks L Lin, J Li Journal of Machine Learning Research 18 (110), 1-49, 2017 | 13 | 2017 |
| Using non-invertible data transformations to build adversary-resistant deep neural networks Q Wang, W Guo, II Ororbia, G Alexander, X Xing, L Lin, CL Giles, X Liu, ... arXiv preprint arXiv:1610.01934, 2016 | 11 | 2016 |
