Selected Publications

  • Li, W., Lin, L., Malhotra, R., Yang, L., Acharya, R., & Poss, M. (in press). A computational framework to assess genome-wide distribution of polymorphic human endogenous retrovirus-K in human populations. PLoS Computational Biology.

  • Lin, L., & Fong, D. K. H. (2019). Bayesian multidimensional scaling procedure with variable selection. Computational Statistics & Data Analysis, 129, 1-13.

  • Guo, W., Huang, S., Tao, Y., Xing, X., & Lin, L. (2018). Explaining deep learning models -- A Bayesian non-parametric approach. In Advances in Neural Information Processing Systems (pp. 4519-4529).

  • Lin, L., & Li, J. (2017). Clustering with hidden Markov model on variable blocks. The Journal of Machine Learning Research, 18(1), 3913-3961.

  • Shah, J.A., Musvosvi, M., Shey, M., Horne, D.J., Wells, R.D., Peterson, G.J., Cox, J.S., Daya, M., Hoal, E.G., Lin, L., Gottardo, R., Hanekom, W.A., Scriba, T.J., Hatherill, M., & Hawn, T.R. (2017). A functional toll-interacting protein variant is associated with Bacillus calmette-guérin–specific immune responses and tuberculosis. American journal of respiratory and critical care medicine, 196(4), 502-511.

  • Seshadri, C., Lin, L., Scriba, T.J., Peterson, G., Freidrich, D., Frahm, N., DeRosa, S.C., Moody, D.B., Prandi, J., Gilleron, M., Mahomed, H., Jiang, W., Finak, G., Hanekom, W.A., Gottardo, R., McElrath, M.J., & Hawn, T.R. (2015). T cell responses against mycobacterial lipids and proteins are poorly correlated in South African adolescents. The Journal of Immunology, 195(10), 4595-4603.

  • Lin, L., Finak, G., Ushey, K., Seshadri, C., Hawn, T.R., Frahm, N., Scriba, T.J., Mahomed, H., Hanekom, W., Bart, P.A., Pantaleo, G., Tomaras, G.D., Rerks-Ngarm, S., Kaewkungwal, J., Nitayaphan, S., Pitisuttithum, P., Michael, N.L., Kim, J.H., Robb, M.L., O’Connell, R.J., Karasavvas, N., Gilbert, P., DeRosa, S., McElrath, M.J., & Gottardo, R. (2015). COMPASS identifies T-cell subsets correlated with clinical outcomes. Nature Biotechnology, 33(6), 610. (Mitchell Prize 2016)

  • Lin, L., Frelinger, J., Jiang, M., Finak, G., Bart, P.A., Pantaleo, G., McElrath, M.J., DeRose, S.C., & Gottardo, R. (2015). Identification and visualization of multidimensional antigen-specific T-cell populations in polychromatic cytometry data. Cytometry Part A, 87(7), 675-682.

  • Lin, L., Chan, C., & West, M. (2015). Discriminative variable subsets in Bayesian classification with mixture models, with application in flow cytometry studies. Biostatistics, 17(1), 40-53.

  • Lin, L., Chan, C., Hadrup, S. R., Froesig, T. M., Wang, Q., & West, M. (2013). Hierarchical Bayesian mixture modelling for antigen-specific T-cell subtyping in combinatorially encoded flow cytometry studies. Statistical applications in genetics and molecular biology, 12(3), 309-331.

  • Cron, A., Gouttefangeas, C., Frelinger, J., Lin, L., Singh, S.K., Britten, C.M., Welters, M.J.P., van der Burg, S.H., West, M., & Chan, C. (2013). Hierarchical modeling for rare event detection and cell subset alignment across flow cytometry samples. PLoS computational biology, 9(7), e1003130.