Leying Guan

Genetics; Immune System Diseases; Neurosciences; Computational Biology; Statistics; Gene Regulatory Networks; Epigenomics; Machine Learning

• 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.
• 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 l0-penalized estimation of piecewise constant signals on graphsZhou Fan, and Leying Guan. "Approximate $\ell_ {0} $-penalized estimation of piecewise-constant signals on graphs." The Annals of Statistics 46, no. 6B (2018): 3217-3245.
• 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.