Lynn Lin

Assistant Professor of Statistics

Lynn Lin

Research Summary

Bayesian mixture model development for classification, variable selection, design and model selection, structured and hierarchical non-parametric Bayesian methods, rare event detection, and statistical computation involving simulation and optimization.

Huck Affiliations

Links

Publication Tags

Flow Cytometry Antigens T Lymphocytes Proteins T Cells Mixture Model Gaussian Distribution Variable Selection Subset Cell Color Mixture Modeling Clustering Markov Processes Modeling Markov Model Gaussian Mixture Model Alignment Uncertainty Markov Process Bayesian Classification Hidden Markov Models Tuberculosis Learning Algorithms Bacillus

Most Recent Papers

Optimal transport, mean partition, and uncertainty assessment in cluster analysis

Jia Li, Beomseok Seo, Lin Lin, 2019, Statistical Analysis and Data Mining on p. 359-377

Optical spectroscopy study of Ca3(Ru0.91Mn0.09)2O7 single crystal in high magnetic fields

X. Xu, J. Peng, J. Zhang, Z. Ma, C. Chen, J. Han, B. Liu, L. Lin, X. Wu, Z. Mao, Z. Qu, Z. Sheng, 2019, Science Bulletin on p. 20-25

Bayesian multidimensional scaling procedure with variable selection

Lin Lin, Duncan Fong, 2019, Computational Statistics and Data Analysis on p. 1-13

A computational framework to assess genome-wide distribution of polymorphic human endogenous retrovirus-K in human populations

Weiling Li, Lin Lin, Raunaq Malhotra, Lei Yang, Raj Acharya, Mary Poss, 2019, PLoS computational biology on p. e1006564

Clustering with hidden Markov model on variable blocks

Lin Lin, Jia Li, 2017, Journal of Machine Learning Research on p. 1-49

A functional toll-interacting protein variant is associated with bacillus calmette-guérin-specific immune responses and tuberculosis

Javeed A. Shah, Munyaradzi Musvosvi, Muki Shey, David J. Horne, Richard D. Wells, Glenna J. Peterson, Jeffery S. Cox, Michelle Daya, Eileen G. Hoal, Lin Lin, Raphael Gottardo, Willem A. Hanekom, Thomas J. Scriba, Mark Hatherill, Thomas R. Hawn, 2017, American journal of respiratory and critical care medicine on p. 502-511

Baum-Welch algorithm on directed acyclic graph for mixtures with latent Bayesian networks

Jia Li, Lin Lin, 2017, Stat on p. 303-314

Discriminative variable subsets in Bayesian classification with mixture models, with application in flow cytometry studies

Lin Lin, Cliburn Chan, Mike West, 2016, Biostatistics on p. 40-53

Using Non-invertible Data Transformations to Build Adversary-Resistant Deep Neural Networks

Qinglong Wang, Wenbo Guo, Alexander Ororbia, II, Xinyu Xing, Lin Lin, Clyde Giles, Xue Liu, Peng Liu, Gang Xiong, 2016, CoRR

T cell responses against mycobacterial lipids and proteins are poorly correlated in South African adolescents

Chetan Seshadri, Lin Lin, Thomas J. Scriba, Glenna Peterson, David Freidrich, Nicole Frahm, Stephen C. De Rosa, D. Branch Moody, Jacques Prandi, Martine Gilleron, Hassan Mahomed, Wenxin Jiang, Greg Finak, Willem A. Hanekom, Raphael Gottardo, M. Juliana McElrath, Thomas R. Hawn, 2015, Journal of Immunology on p. 4595-4603

Most-Cited Papers

COMPASS identifies T-cell subsets correlated with clinical outcomes

Lin Lin, Greg Finak, Kevin Ushey, Chetan Seshadri, Thomas R. Hawn, Nicole Frahm, Thomas J. Scriba, Hassan Mahomed, Willem Hanekom, Pierre Alexandre Bart, Giuseppe Pantaleo, Georgia D. Tomaras, Supachai Rerks-Ngarm, Jaranit Kaewkungwal, Sorachai Nitayaphan, Punnee Pitisuttithum, Nelson L. Michael, Jerome H. Kim, Merlin L. Robb, Robert J. O'Connell, Nicos Karasavvas, Peter Gilbert, Stephen C. De Rosa, M. Juliana McElrath, Raphael Gottardo, 2015, Nature Biotechnology on p. 610-616

Hierarchical Modeling for Rare Event Detection and Cell Subset Alignment across Flow Cytometry Samples

Andrew Cron, Cécile Gouttefangeas, Jacob Frelinger, Lin Lin, Satwinder K. Singh, Cedrik M. Britten, Marij J.P. Welters, Sjoerd H. van der Burg, Mike West, Cliburn Chan, 2013, PLoS Computational Biology

Identification and visualization of multidimensional antigen-specific T-cell populations in polychromatic cytometry data

Lin Lin, Jacob Frelinger, Wenxin Jiang, Greg Finak, Chetan Seshadri, Pierre Alexandre Bart, Giuseppe Pantaleo, Julie Mcelrath, Steve Derosa, Raphael Gottardo, 2015, Cytometry Part A on p. 675-682

A functional toll-interacting protein variant is associated with bacillus calmette-guérin-specific immune responses and tuberculosis

Javeed A. Shah, Munyaradzi Musvosvi, Muki Shey, David J. Horne, Richard D. Wells, Glenna J. Peterson, Jeffery S. Cox, Michelle Daya, Eileen G. Hoal, Lin Lin, Raphael Gottardo, Willem A. Hanekom, Thomas J. Scriba, Mark Hatherill, Thomas R. Hawn, 2017, American journal of respiratory and critical care medicine on p. 502-511

Hierarchical Bayesian mixture modelling for antigenspecific T-cell subtyping in combinatorially encoded flow cytometry studies

Lin Lin, Cliburn Chan, Sine R. Hadrup, Thomas M. Froesig, Quanli Wang, Mike West, 2013, Statistical Applications in Genetics and Molecular Biology on p. 309-331

T cell responses against mycobacterial lipids and proteins are poorly correlated in South African adolescents

Chetan Seshadri, Lin Lin, Thomas J. Scriba, Glenna Peterson, David Freidrich, Nicole Frahm, Stephen C. De Rosa, D. Branch Moody, Jacques Prandi, Martine Gilleron, Hassan Mahomed, Wenxin Jiang, Greg Finak, Willem A. Hanekom, Raphael Gottardo, M. Juliana McElrath, Thomas R. Hawn, 2015, Journal of Immunology on p. 4595-4603

Discriminative variable subsets in Bayesian classification with mixture models, with application in flow cytometry studies

Lin Lin, Cliburn Chan, Mike West, 2016, Biostatistics on p. 40-53

A computational framework to assess genome-wide distribution of polymorphic human endogenous retrovirus-K in human populations

Weiling Li, Lin Lin, Raunaq Malhotra, Lei Yang, Raj Acharya, Mary Poss, 2019, PLoS computational biology on p. e1006564

Clustering with hidden Markov model on variable blocks

Lin Lin, Jia Li, 2017, Journal of Machine Learning Research on p. 1-49

Bayesian multidimensional scaling procedure with variable selection

Lin Lin, Duncan Fong, 2019, Computational Statistics and Data Analysis on p. 1-13