Selected Publications

  • Lin L, Fong D. Bayesian multidimensional scaling procedure with variable selection, Computational Statistics & Data Analysis, 129: 1−13, 2019.

  • Guo W, Huang S, Tao Y, Xing X, Lin, L. Explaining deep learning models -- A Bayesian non-parametric approach, Advances in Neural Information Processing Systems (NIPS'18).

  • Lin L, Li J. Clustering with hidden Markov model on variable blocks, Journal of Machine Learning Research, 18(110): 1−49, 2017.

  • Li J, Lin L Baum-Welch algorithm on directed acyclic graph for mixtures with latent Bayesian networks, Stat, 6: 303-31, 2017.

  • Shah JA, Musvosvi M, Shey M, Horne DJ, Wells RD, Peterson GJ, Cox JS, Daya M, Hoal EG, Lin L, Gottardo R, Hanekom WA, Scriba TJ, Hatherill M, Hawn TR. A functional TOLLIP variant is associated with BCG-specific immune responses and tuberculosis, American Journal of Respiratory And Critical Care Medicine, Vol. 196, No. 4, Aug 15 2017.

  • Seshadri C, Lin L, Scriba TJ, Peterson G, Freidrich D, Frahm N, DeRosa SC, Moody DB, Prandi J, Gilleron M, Mahomed H, Jiang W, Finak G, Hanekom WA, Gottardo R, McElrath MJ, Hawn TR. T Cell Responses against Mycobacterial Lipids and Proteins Are Poorly Correlated in South African Adolescents, The Journal of Immunology, 195(10):4595-603, Nov 15 2015.

  • Lin L, Finak G, Ushey K, Seshadri C, Hawn TR, Frahm N, Scriba TJ, Mahomed H, Hanekom W, Bart PA, Pantaleo G, Tomaras GD, Rerks-Ngarm S, Kaewkungwal J, Nitayaphan S, Pitisuttithum P, Michael NL, Kim JH, Robb ML, O’Connell RJ, Karasavvas N, Gilbert P, DeRosa S, McElrath MJ, Gottardo R. COMPASS identifies T-cell subsets correlated with clinical outcomes, Nature Biotechnology 33, 610–616, 2015. (Mitchell Prize 2016)

  • Lin L, Frelinger J, Jiang M, Finak G, Bart PA, Pantaleo G, McElrath MJ, DeRose SC, Gottardo R. Identification and visualization of multidimensional antigen-specific T-cell populations in polychromatic cytometry data, Cytometry A, 2015. doi:10.1002/cyto.a.22623.

  • Lin L, Chan C, West M. Discriminative variable subsets in Bayesian classification with mixture models, with application in flow cytometry studies, Biostatistics, 2015. doi: 10.1093/biostatistics/kxv021.

  • Lin L, Chan C, Hadrup SR, Froesig TM, Wang Q, West M. Hierarchical Bayesian mixture modelling for antigen-specific T-cell subtyping in combinatorially encoded flow cytometry studies, Statistical Applications in Genetics and Molecular Biology 12, 309-331, 2013

  • Cron AJ, Gouttefangeas C, Frelinger J, Lin L, Singh SK, Britten CM, Welters MJP, van der Burg SH, West M, Chan C. Hierarchical modeling for rare event detection and cell subset alignment across flow cytometry samples, PLoS Computational Biology 9, e1003130, 2013.

  • Chan C, Lin L, Frelinger J, Hrbert V, Gagnon D, Landry C, Skaly RP, Enzor J, Staats J, Weinhold KJ, Jaimes M, West M. Optimization of a highly standardized carboxyfluorescein succinimidyl ester flow cytometry panel and gating strategy design using discriminative information measure evaluation, Cytometry Part A, 77(12), 1126-36, 2010.