Leying Guan
Assistant Professor of Biostatistics (Biostatistics)
Research & Publications
Biography
News
Extensive Research Description
High-dimensional Statistics; Statistical Inference; Outlier Detection; Machine Learning and Data Science; Statistical Genetics; Computational Neuroscience; Statistical Analysis of Immune Signatures in Human infection.
Coauthors
Research Interests
Genetics; Immune System Diseases; Neurosciences; Computational Biology; Statistics; Gene Regulatory Networks; Epigenomics; Machine Learning
Selected Publications
- Integrated longitudinal multiomics study identifies immune programs associated with acute COVID-19 severity and mortalityGygi J, Maguire C, Patel R, Shinde P, Konstorum A, Shannon C, Xu L, Hoch A, Jayavelu N, Haddad E, Network I, Reed E, Kraft M, McComsey G, Metcalf J, Ozonoff A, Esserman D, Cairns C, Rouphael N, Bosinger S, Kim-Schulze S, Krammer F, Rosen L, van Bakel H, Wilson M, Eckalbar W, Maecker H, Langelier C, Steen H, Altman M, Montgomery R, Levy O, Melamed E, Pulendran B, Diray-Arce J, Smolen K, Fragiadakis G, Becker P, Sekaly R, Ehrlich L, Fourati S, Peters B, Kleinstein S, Guan L. Integrated longitudinal multiomics study identifies immune programs associated with acute COVID-19 severity and mortality. Journal Of Clinical Investigation 2024, 134: e176640. PMID: 38690733, PMCID: PMC11060740, DOI: 10.1172/jci176640.
- A supervised Bayesian factor model for the identification of multi-omics signaturesGygi J, Konstorum A, Pawar S, Aron E, Kleinstein S, Guan L. A supervised Bayesian factor model for the identification of multi-omics signatures. Bioinformatics 2024, 40: btae202. PMID: 38603606, PMCID: PMC11078774, DOI: 10.1093/bioinformatics/btae202.
- A multi-omics systems vaccinology resource to develop and test computational models of immunityShinde P, Soldevila F, Reyna J, Aoki M, Rasmussen M, Willemsen L, Kojima M, Ha B, Greenbaum J, Overton J, Guzman-Orozco H, Nili S, Orfield S, Gygi J, da Silva Antunes R, Sette A, Grant B, Olsen L, Konstorum A, Guan L, Ay F, Kleinstein S, Peters B. A multi-omics systems vaccinology resource to develop and test computational models of immunity. Cell Reports Methods 2024, 4: 100731. PMID: 38490204, PMCID: PMC10985234, DOI: 10.1016/j.crmeth.2024.100731.
- Smooth and Probabilistic PARAFAC Model with Auxiliary CovariatesGuan L. Smooth and Probabilistic PARAFAC Model with Auxiliary Covariates. Journal Of Computational And Graphical Statistics 2023, 33: 538-550. DOI: 10.1080/10618600.2023.2257783.
- Early cellular and molecular signatures correlate with severity of West Nile virus infectionLee H, Zhao Y, Fleming I, Mehta S, Wang X, Wyk B, Ronca S, Kang H, Chou C, Fatou B, Smolen K, Levy O, Clish C, Xavier R, Steen H, Hafler D, Love J, Shalek A, Guan L, Murray K, Kleinstein S, Montgomery R. Early cellular and molecular signatures correlate with severity of West Nile virus infection. IScience 2023, 26: 108387. PMID: 38047068, PMCID: PMC10692672, DOI: 10.1016/j.isci.2023.108387.
- Distinguishing features of long COVID identified through immune profilingKlein J, Wood J, Jaycox J, Dhodapkar R, Lu P, Gehlhausen J, Tabachnikova A, Greene K, Tabacof L, Malik A, Silva Monteiro V, Silva J, Kamath K, Zhang M, Dhal A, Ott I, Valle G, Peña-Hernández M, Mao T, Bhattacharjee B, Takahashi T, Lucas C, Song E, McCarthy D, Breyman E, Tosto-Mancuso J, Dai Y, Perotti E, Akduman K, Tzeng T, Xu L, Geraghty A, Monje M, Yildirim I, Shon J, Medzhitov R, Lutchmansingh D, Possick J, Kaminski N, Omer S, Krumholz H, Guan L, Dela Cruz C, van Dijk D, Ring A, Putrino D, Iwasaki A. Distinguishing features of long COVID identified through immune profiling. Nature 2023, 623: 139-148. PMID: 37748514, PMCID: PMC10620090, DOI: 10.1038/s41586-023-06651-y.
- Predictive overfitting in immunological applications: Pitfalls and solutionsGygi J, Kleinstein S, Guan L. Predictive overfitting in immunological applications: Pitfalls and solutions. Human Vaccines & Immunotherapeutics 2023, 19: 2251830. PMID: 37697867, PMCID: PMC10498807, DOI: 10.1080/21645515.2023.2251830.
- Multi-omic longitudinal study reveals immune correlates of clinical course among hospitalized COVID-19 patientsDiray-Arce J, Fourati S, Jayavelu N, Patel R, Maguire C, Chang A, Dandekar R, Qi J, Lee B, van Zalm P, Schroeder A, Chen E, Konstorum A, Brito A, Gygi J, Kho A, Chen J, Pawar S, Gonzalez-Reiche A, Hoch A, Milliren C, Overton J, Westendorf K, Network I, Abraham J, Adkisson M, Albert M, Torres L, Alvarenga B, Anderson M, Anderson E, Arnett A, Asashima H, Atkinson M, Baden L, Barton B, Beach K, Beagle E, Becker P, Bell M, Bernui M, Bime C, Kumar A, Booth L, Borresen B, Brakenridge S, Bristow L, Bryant R, Calfee C, Manuel J, Carrillo S, Chak S, Chang I, Connors J, Conway M, Corry D, Cowan D, Croen B, Dela Cruz C, Cusimano G, Eaker L, Edwards C, Ehrlich L, Elashoff D, Erickson H, Erle D, Farhadian S, Farrugia K, Fatou B, Fernandes A, Fernandez-Sesma A, Fragiadakis G, Furukawa S, Geltman J, Ghale R, Bermúdez M, Goonewardene M, Sanchez E, Guirgis F, Hafler D, Hamilton S, Harris P, Nemati A, Hendrickson C, Agudelo N, Hodder T, Holland S, Hough C, Huerta C, Hurley K, Hutton S, Iwasaki A, Jauregui A, Jha M, Johnson B, Joyner D, Kangelaris K, Kelly G, Khalil Z, Khan Z, Kheradmand F, Kim J, Kimura H, Ko A, Kohr B, Kraft M, Krummel M, Kutzler M, Lasky-Su J, Lee S, Lee D, Leipold M, Lentucci C, Leroux C, Lin E, Liu S, Love C, Lu Z, Maliskova L, Roth B, Manohar M, Martens M, McComsey G, McEnaney K, McLin R, Melamed E, Melnyk N, Mendez K, Messer W, Metcalf J, Michelotti G, Mick E, Mohanty S, Mosier J, Mulder L, Murphy M, Nadeau K, Nelson E, Nelson A, Nguyen V, Oberhaus J, Panganiban B, Pellegrini K, Pickering H, Powell D, Presnell S, Pulendran B, Rahman A, Sadeed A, Raskin A, Reed E, Pereira S, Rivera A, Rogers J, Rogers A, Rogowski B, Rooks R, Rosenberg-Hasson Y, Rothman J, Rousseau J, Salehi-Rad R, Saluvan M, Samaha H, Schaenman J, Schunk R, Semenza N, Sen S, Sevransky J, Seyfert-Margolis V, Shaheen T, Shaw A, Sieg S, Siegel S, Sigal N, Siles N, Simmons B, Simon V, Singh G, Sinko L, Smith C, Smolen K, Song L, Srivastava K, Sullivan P, Syphurs C, Tcheou J, Tegos G, Tharp G, Ally A, Tsitsiklis A, Ungaro R, Vaysman T, Viode A, Vita R, Wang X, Ward A, Ward D, Willmore A, Woloszczuk K, Wong K, Woodruff P, Xu L, van Haren S, van de Guchte A, Zhao Y, Cairns C, Rouphael N, Bosinger S, Kim-Schulze S, Krammer F, Rosen L, Grubaugh N, van Bakel H, Wilson M, Rajan J, Steen H, Eckalbar W, Cotsapas C, Langelier C, Levy O, Altman M, Maecker H, Montgomery R, Haddad E, Sekaly R, Esserman D, Ozonoff A, Becker P, Augustine A, Guan L, Peters B, Kleinstein S. Multi-omic longitudinal study reveals immune correlates of clinical course among hospitalized COVID-19 patients. Cell Reports Medicine 2023, 4: 101079. PMID: 37327781, PMCID: PMC10203880, DOI: 10.1016/j.xcrm.2023.101079.
- Smooth and probabilistic PARAFAC model with auxiliary covariatesLeying Guan (2023) Smooth and Probabilistic PARAFAC Model with Auxiliary Covariates, Journal of Computational and Graphical Statistics, DOI: 10.1080/10618600.2023.2257783
- Localized conformal prediction: a generalized inference framework for conformal predictionGuan L. Localized conformal prediction: a generalized inference framework for conformal prediction. Biometrika 2022, 110: 33-50. DOI: 10.1093/biomet/asac040.
- Prediction and Outlier Detection in Classification ProblemsGuan L, Tibshirani R. Prediction and Outlier Detection in Classification Problems. Journal Of The Royal Statistical Society Series B (Statistical Methodology) 2022, 84: 524-546. PMID: 35910400, PMCID: PMC9305480, DOI: 10.1111/rssb.12443.
- Post model‐fitting exploration via a “Next‐Door” analysis.Guan, Leying, and Robert Tibshirani. "Post model‐fitting exploration via a “Next‐Door” analysis." Canadian Journal of Statistics 48, no. 3 (2020): 447-470.
- Post model‐fitting exploration via a “Next‐Door” analysisGuan L, Tibshirani R. Post model‐fitting exploration via a “Next‐Door” analysis. Canadian Journal Of Statistics 2020, 48: 447-470. PMID: 36092475, PMCID: PMC9454156, DOI: 10.1002/cjs.11542.
- Increased T Cell Differentiation and Cytolytic Function in Bangladeshi Compared to American ChildrenWagar LE, Bolen CR, Sigal N, Angel C, Guan L, Kirkpatrick BD, Haque R, Tibshirani RJ, Parsonnet J, Petri WA, Davis MM. Increased T Cell Differentiation and Cytolytic Function in Bangladeshi Compared to American Children. Frontiers In Immunology 2019, 10: 2239. PMID: 31620139, PMCID: PMC6763580, DOI: 10.3389/fimmu.2019.02239.
- Detecting Strong Signals in Gene Perturbation Experiments: An Adaptive Approach With Power Guarantee and FDR ControlGuan L, Chen X, Wong H. Detecting Strong Signals in Gene Perturbation Experiments: An Adaptive Approach With Power Guarantee and FDR Control. Journal Of The American Statistical Association 2019, 115: 1747-1755. PMID: 33311819, PMCID: PMC7731979, DOI: 10.1080/01621459.2019.1635484.
- Approximate $\ell_{0}$-penalized estimation of piecewise-constant signals on graphsFan Z, Guan L. Approximate $\ell_{0}$-penalized estimation of piecewise-constant signals on graphs. The Annals Of Statistics 2018, 46: 3217-3245. DOI: 10.1214/17-aos1656.
- Supervised learning via the "hubNet" procedure.Guan L, Fan Z, Tibshirani R. Supervised learning via the "hubNet" procedure. Statistica Sinica 2018, 28: 1225-1243. PMID: 35677806, PMCID: PMC9173714, DOI: 10.5705/ss.202016.0482.
- Scalable multi-sample single-cell data analysis by Partition-Assisted Clustering and Multiple Alignments of NetworksLi YH, Li D, Samusik N, Wang X, Guan L, Nolan GP, Wong H. Scalable multi-sample single-cell data analysis by Partition-Assisted Clustering and Multiple Alignments of Networks. PLOS Computational Biology 2017, 13: e1005875. PMID: 29281633, PMCID: PMC5760091, DOI: 10.1371/journal.pcbi.1005875.
- Big data modeling to predict platelet usage and minimize wastage in a tertiary care systemGuan L, Tian X, Gombar S, Zemek AJ, Krishnan G, Scott R, Narasimhan B, Tibshirani RJ, Pham TD. Big data modeling to predict platelet usage and minimize wastage in a tertiary care system. Proceedings Of The National Academy Of Sciences Of The United States Of America 2017, 114: 11368-11373. PMID: 29073058, PMCID: PMC5664553, DOI: 10.1073/pnas.1714097114.
- Exon expression QTL (eeQTL) analysis highlights distant genomic variations associated with splicing regulationGuan L, Yang Q, Gu M, Chen L, Zhang X. Exon expression QTL (eeQTL) analysis highlights distant genomic variations associated with splicing regulation. Quantitative Biology 2014, 2: 71-79. DOI: 10.1007/s40484-014-0031-9.