RESEARCH INTERESTS
- High-dimensional Statistics
- Statistical Inference
- Outlier Detection
- Machine Learning and Data Science
- Statistical Genetics
- Immunology
- Computational Neuroscience
Publications
Robust Statistical Inference and Modeling
A conformal test of linear models via permutation-augmented regressions. Leying Guan (2023+). Major revision at Annals of Statistics.
Conformalized semi-supervised random forest for classification and abnormality detection. Yujin Han, Mingwenchan Xu, Leying Guan (2023+). Accepted at AISTATS 2024.
Localized Conformal Prediction: A Generalized Inference Framework for Conformal Prediction. Leying Guan. Biometrika, 2023.
Predictive overfitting in immunological applications: Pitfalls and solutions. Jeremy P Gygi, Steven H Kleinstein, Leying Guan. Human Vaccines & Immunotherapeutics, 2023.
Prediction and outlier detection in classification problems. Leying Guan, Rob Tibshirani. Journal of the Royal Statistical Society Series B (Statistical Methodology), 2022.
Post model-fitting exploration via a Next-Door analysis. Leying Guan, Robert Tibshirani. Canadian Journal of Statistics, 2020.
Detecting strong signals in gene perturbation experiments: An adaptive approach with power guarantee and FDR control. Leying Guan, Xi Chen, Wing Hung Wong. Journal of the American Statistical Association, 2019.
High-dimensional Statistics and Omic Data Modeling
Gradient flows for empirical Bayes in high-dimensional linear models. Zhou Fan, Leying Guan, Yandi Shen, Yihong Wu (2024+).
ℓ1-norm constrained multi-block sparse canonical correlation analysis via proximal gradient descent. Leying Guan (2023+). Major revision at Electronic Journal of Statistics.
SPEAR: a Sparse Supervised Bayesian Factor Model for Multi-omic Integration. Gygi, Jeremy P., Anna Konstorum, Shrikant Pawar, Steven H. Kleinstein, and Leying Guan (2023+).
Smoothed and probabilistic PARAFAC model with covariates. Leying Guan. Journal of Computational and Graphical Statistics, 2023.
Approximate l0-penalized estimation of piecewise constant signals on graphs. Zhou Fan, and Leying Guan. The Annals of Statistics, 2017.
Scalable Multi-Sample Single-Cell Data Analysis by Partition-Assisted Clustering and Multiple Alignments of Networks. Ye Henry Li, Dangna Li, Nikolay Samusik, Xiaowei Wang, Leying Guan, Garry P. Nolan, and Wing Hung Wong. PLOS Computational Biology, 2017.
Regularization for supervised learning via the” hubNet” procedure. Leying Guan, Zhou Fan, Robert Tibshirani. Statistica Sinica, 2017.
Immunology-related Application
Integrated longitudinal multi-omics study identifies immune programs associated with COVID-19 severity and mortality in 1152 hospitalized participants. Jeremy P Gygi, Cole Maguire, Ravi K Patel, Pramod Shinde, Anna Konstorum, Casey P Shannon, Leqi Xu, Annmarie Hoch, Naresh Jayavelu, IMPACC Network, Elias K Haddad, Elaine F Reed, Monica Kraft, Grace A McComsey, Jordan Metcalf, Al Ozonoff, Denise Esserman, Charles B Cairns, Nadine Rouphael, Steven E Bosinger, Seunghee Kim-Schulze, Florian Krammer, Lindsey B Rosen, Harm Bakel, Michael Wilson, Walter Eckalbar, Holden Maecker, Charles R Langelier, Hanno Steen, Matthew C Altman, Ruth R Montgomery, Ofer Levy, Esther Melamed, Bali Pulendran, Joann Arce, Kinga K Smolen, Gabriela K Fragiadakis, Patrice M Becker, Alison D Augustine, Rafick P Sekaly, Lauren IR Ehrlich, Slim Fourati, Bjoern Peters, Steven H Kleinstein, Leying Guan. (2023+) Revision at Journal of Clinical Investigation.
Early cellular and molecular signatures correlate with severity of West Nile Virus infection. Ho-Joon Lee, Yujiao Zhao, Ira Fleming, Sameet Mehta, Xiaomei Wang, Brent Vander Wyk, Shannon E Ronca, Heather Kang, Chih-Hung Chou, Benoit Fatou, Kinga K Smolen, Ofer Levy, Clary B Clish, Ramnik J Xavier, Hanno Steen, David A Hafler, J Christopher Love, Alex K Shalek, Leying Guan, Kristy O Murray, Steven H Kleinstein, Ruth R Montgomery. Accepted at iScience. (2023+).
Distinguishing features of Long COVID identified through immune profiling. Jon Klein, Jamie Wood, Jillian Jaycox, Rahul M. Dhodapkar, Peiwen Lu, Jeff R. Gehlhausen, Alexandra Tabachnikova, Kerrie Greene, Laura Tabacof, Amyn A. Malik5, Valter Silva Monteiro, Julio Silva, Kathy Kamath, Minlu Zhang, Abhilash Dhal6, Isabel Ott, Gabrielee Valle, Mario Peña-Hernandez, Tianyang Mao, Bornali Bhattacharjee, Takehiro Takahashi, Carolina Lucas, Eric Song, Dayna Mccarthy, Erica Breyman, Jenna Tosto-Mancuso, Yile Dai, Emily Perotti, Koray Akduman, Tiffany J. Tzeng, Lan Xu, Anna C. Geraghty, Michelle Monje, Inci Yildirim, John Shon6, Ruslan Medzhitov, Denyse Lutchmansingh, Jennifer Possick, Naftali Kaminski, Saad B. Omer, Harlan M. Krumholz, Leying Guan, Charles S. Dela Cruz, David van Dijk, Aaron M. Ring, David Putrino, Akiko Iwasaki. Nature, 2023.
Multi-omic longitudinal study reveals immune correlates of clinical course among hospitalized COVID-19 patients. Joann Diray-Arce, Slim Fourati, Naresh Doni Jayavelu, Ravi Patel, Cole Maguire, Ana C. Chang, Ravi Dandekar, Jingjing Qi, Brian H. Lee, Patrick van Zalm, Andrew Schroeder, Ernie Chen, Anna Konstorum, Anderson Brito, Jeremy P. Gygi, Alvin Kho, Jing Chen, Shrikant Pawar, Ana Silvia Gonzalez-Reiche, Annmarie Hoch, Carly E. Milliren, James A. Overton, Kerstin Westendorf, IMPACC Network, Charles B. Cairns, Nadine Rouphael, Steven E. Bosinger, Seunghee Kim-Schulze, Florian Krammer, Lindsey Rosen, Nathan D. Grubaugh, Harm van Bakel, Michael Wilson, Jayant Rajan, Hanno Steen, Walter Eckalbar, Chris Cotsapas, Charles R. Langelier, Ofer Levy, Matthew C. Altman, Holden Maecker, Ruth R. Montgomery, Elias K. Haddad, Rafick P. Sekaly, Denise Esserman, Al Ozonoff, Patrice M. Becker, Alison D. Augustine, Leying Guan, Bjoern Peters, Steven H. Kleinstein. Cell Reports Medicine, 2023.
Immunophenotyping assessment in a COVID-19 cohort (IMPACC): A prospective longitudinal study. IMPACC MANUSCRIPT WRITING TEAM AND ON BEHALF OF THE IMPACC NETWORK STEERING COMMITTEE. Science Immunology, 2021.
Increased T cell differentiation and cytolytic function in Bangladeshi compared to American children. Lisa E Wagar, Christopher R Bolen, Natalia Sigal, Cesar J Lopez Angel, Leying Guan, Beth Kirkpatrick, Rashidul Haque, Robert J Tibshirani, Julie Parsonnet, William A Petri and Mark M Davis. Frontiers in immunology, 2019.
Other Topics
Leveraging genetic correlations and multiple populations to improve genetic risk prediction for non-European populations. Leqi Xu, Geyu Zhou, Wei Jiang, Leying Guan, and Hongyu Zhao. (2023+)
Big data modeling to predict platelet usage and minimize wastage in a tertiary care system. Leying Guan, Xiaoying Tian, Saurabh Gombar, Allison J. Zemek, Gomathi Krishnan, Robert Scott, Balasubramanian Narasimhan, Robert J. Tibshirani, and Tho D. Pham. Proceedings of the National Academy of Sciences, 2017.
Exon expression QTL (eeQTL) analysis highlights distant genomic variations associated with splicing regulation. Leying Guan, Qian Yang, Mengting Gu, Liang Chen, and Xuegong Zhang.Quantitative Biology, 2014.