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 Genome Antigens Uncertainty T Cells T Lymphocytes Cluster Analysis Retroviridae Human Population Endogenous Retroviruses Proteins Population Mixture Model Spatial Data Color Cell Framework Human Subset Visualization Single Nucleotide Polymorphism Mixture Modeling Data Analysis Alignment Genes

Most Recent Papers

VtNet: a Neural Network with Variable Importance Assessment

Lixiang Zhang, Lin Lin, J Li, Stat on p. e325

A Sample Covariance-Based Approach For Spatial Binary Data

Sahar Zarmehri, E Hanks, Lin Lin, 2021, Journal of Agricultural, Biological, and Environmental Statistics

Positive impact of facility-based isolation of mild COVID-19 cases on effectively curbing the pandemic: a mathematical modelling study.

S Chen, Qiushi Chen, J Yang, L Lin, L Li, L Jiao, P Geldsetzer, C Wang, A Wilder-Smith, T Bärnighausen, 2020, Journal of travel medicine

CPS analysis

Lixiang Zhang, Lin Lin, Jia Li, 2020, Bioinformatics on p. 3516-3521

Bayesian mixture models for cytometry data analysis

Lin Lin, Boris P. Hejblum, 2020, Wiley Interdisciplinary Reviews: Computational Statistics

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

Retrovirus insertion site analysis of LGL leukemia patient genomes

Weiling Li, Lei Yang, Robert S. Harris, Lin Lin, Thomas L. Olson, Cait E. Hamele, David J. Feith, Thomas P. Loughran, Mary Poss, 2019, BMC Medical Genomics on p. 88

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

Bayesian multidimensional scaling procedure with variable selection

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

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

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 : the journal of the International Society for Analytical Cytology 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

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

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

Explaining deep learning models - A Bayesian non-parametric approach

Wenbo Guo, Sui Huang, Yunzhe Tao, Xinyu Xing, Lin Lin, 2018, Advances in Neural Information Processing Systems on p. 4514-4524

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

Retrovirus insertion site analysis of LGL leukemia patient genomes

Weiling Li, Lei Yang, Robert S. Harris, Lin Lin, Thomas L. Olson, Cait E. Hamele, David J. Feith, Thomas P. Loughran, Mary Poss, 2019, BMC Medical Genomics on p. 88