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Dr. Peng Liu

Peng Liu

  • Associate Professor
  • Statistics
Research Interests
Statistical genomics, bioinformatics, Bayesian statistics, statistical inference for high-dimensional data, biostatistics

Functional and Structural Genomics-- Statistical experimental design, analysis of next-generation sequencing data, statistical methods for high-dimensional data.

Recent Publications:
F. Liu, C. Wang, Z. Wu, Q. Zhang, and P. Liu* (2016), A Zero-Inflated Poisson Model for Insertion Tolerance Analysis of Genes Based on Tn-seq Data, accepted by Bioinformatics
​F. Liu, C. Wang,  and P. Liu* (2015), A Semi-parametric Bayesian Approach for Differential Expression Analysis of RNA-seq Data, Journal of Agricultural, Biological, and Environmental Statistics, 20(4): 555-576​
H. Sun, P. Liu, L. Nolan, and S. Lamont (2015), Novel Pathways Revealed in Bursa of Fabricius Transcriptome in Response to Extraintestinal Pathogenic Escherichia coli (ExPEC) Infection, PLoS ONE, 10(11): e0142570
H. Sun, P. Liu, L. Nolan, and S. Lamont (2015), Avian pathogenic Escherichia coli (APEC) infection alters the bone marrow transcriptome in chickens, BMC Genomics, 16: 690
L. Wang, Czedik-Eysenberg, A. Mertz, R. A., Y. Si, …, P. Liu, and T. P. Brutnell (2014), Exploring the mechanism of C4 photosynthetic differentiation through a unified comparative analysis of maize and rice leaf transcriptomes, Nature Biotechnology, 32: 1158–1165
M. Orr, P. Liu and D. Nettleton (2014), An Improved Method for Computing Q-values when the Distribution of Effect Sizes is Asymmetric, accepted by Bioinformatics
T. Ji, P. Liu and D. Nettleton (2014), Estimation and Testing of Gene Expression Heterosis, Journal of Agricultural, Biological, and Environmental Statistics 19(3): 319-337
Y. Du, C. Wang and P. Liu (2014), A Permutation Test of Genetic Association between Salmonella Isolated On-farm and At-abattoir using Amplified Fragment Length Polymorphism, Journal of Biometrics and Biostatistics, 5:204
Y. Si, P. Liu*, P. Li and T. Brutnell (2014), Model-based clustering of RNA-seq data, Bioinformatics, 30(2): 197-205
Y. Si and P. Liu* (2013), An Optimal Test with Maximum Average Power While Controlling FDR with Application to RNA-seq Data, Biometrics, 69, 594-605.
W. Landau and P. Liu  (2013), 'Dispersion Estimation and Its Effect on Test Performance in RNA-seq Data Analysis: A Simulation-Based Comparison of Methods',  PLoS ONE, 8(12): e81415

Contact Info

2117 Snedecor Hall


  • Ph.D., Biological Statistics and Computational Biology, Cornell University, 2006
  • M.S., Biological Statistics and Computational Biology, Cornell University, 2004
  • M.S., Nutritional Sciences, Cornell University, 2001
  • B.Med, Basic Medical Sciences, Peking University Health Science Center, 1998