Graduate Group in Genomics and Computational Biology

Hongzhe Li (Lee), Ph.D.

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Professor of Biostatistics in Biostatistics and Epidemiology
Department: Biostatistics and Epidemiology

Contact information
Department of Biostatistics and Epidemiology
University of Pennsylvania Perelman School of Medicine
215 Blockley Hall
423 Guardian Drive
Philadelphia, PA 19104-6021
Office: 215-573-5038
Fax: 215-573 1050
Education:
B.S. (Mathematics/Information)
Peking University, 1989.
Ph.D. (Statistics)
University of Washington, 1995.
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Description of Research Expertise

My methods reserach was mostly motivated by problems in genetics and genoimics. I have worked on a variety problems in statistical genetics and genomics, including methods for family-based genetic linkage and association analysis, methods for admixture mapping, methods for genome-wide association analysis, methods for analysis of microarray time course gene expression data, high dimensional regression analysis for genomic data, methods for copy number variation analysis and methods for analysis of next generation sequence data. I have published both statistical methodological research in top statistics/biostatistics journals (JASA, AOS, AOAS, Biometrika, Biometrics, Biostatistics etc ) and in top genetics journals (AJHG, Plos Genetics, etc) and collaborative research in top scientific journals (Science, NEJM, Nature, Nature Genetics, PNAS, Developmental Cell etc).

Selected Publications

Kamoun M, McCullough KP, Maiers M, Fernandez Vina MA, Li H, Teal V, Leichtman AB, Merion RM : HLA Amino Acid Polymorphisms and Kidney Allograft Survival. Transplantation 2017, In press Notes: 2017 Feb 18. doi: 10.1097/TP.0000000000001670. [Epub ahead of print]

Shi P, Li H: A model for paired-multinomial data and its application to analysis of data on a taxonomic tree. Biometrics 2017, In press.

Tang ZZ, Chen G, Alekseyenko A, Li H : A general framework for association analysis of microbial communities on a taxonomic tree. Bioinformatics 2017, In press Notes: 2016 Dec 21. pii: btw804. doi: 10.1093/bioinformatics/btw804. [Epub ahead of print]

Zhao SD, Cai TT, Cappola TP, Margulies KB, Li H: Sparse simultaneous signal detection for identifying genetically controlled disease genes. Journal of American Statistical Association 2017, In press.

Chen EZ, Bushman FD, Li H: A Model-based Approach for Species Abundance Quantification Based on Shotgun Metagenomic Data. Statistics in Biosciences Mar 2017 Notes: 16 May. doi:10.1007/s12561-016-9148-x. [Epub ahead of print]

Schoch H, Kreibich AS, Ferri SL, White RS, D Bohorquez, A Banerjee, RG Port, Dow HC, Cordero L, Pallathra AA, Kim H, Li H, Bilker W, Hirano S, Schultz RT, Borgmann-Winter K, Hahn C-G, Feldmeyer D, Carlson GC, Abel T, Brodkin ES : Sociability Deficits and Altered Amygdala Circuits in Mice Lacking Pcdh10, an Autism Associated Gene. Biological Psychiatry 81(3): 193-202, Feb 2017.

Ferri SL, Kreibich AS, Torre M, Picccoli CT, Dow H, Pallathra AA, Li H, Bilker WB, Gur R, Abel T, and Brodkin ES : Activation of Basolateral Amygdala in Juvenil C57BL/6J Mice During Social Approach Behavior. Neuroscience 335: 184-194, Oct 2016.

Chen EZ, Li H: A two-part mixed-effects model for analyzing longitudinal microbiome compositional data. Bioinformatics 32(17): 2611-7, Sep 2016.

Shi P, Zhang A, Li H: Regression Analysis for Microbiome Compositional Data. Annals of Applied Statistics 10(2): 1019-1040, Jun 2016.

Cai T, Li H, Liu W, Xie J: Joint Estimation of Multiple High-dimensional Precision Matrices. Statistica Sinica 26(2): 445-464, Apr 2016.

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Last updated: 04/07/2017
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