Sign-Ons


LIU, Peng
Associate Professor


Personal Homepage

Curriculum Vitae


2117 Snedecor , 515-294-7806

Email


Interests


Statistical genomics, bioinformatics, Bayesian statistics, statistical inference for high-dimensional data, biostatistics

Education


PhD, Cornell University, Ithaca, NY, 2006

Current Teaching:


Stat 402, Stat Design & Experiments
     MWF 10-10:50, Sweeney 1126

Stat 416, Microarray Exprmnts
     TR 11:00-12:20, Town 0250


Recent Publications:


  • Yaqing Si and Peng Liu (2013), 'An Optimal Test with Maximum Average Power While Controlling FDR with Application to RNA-seq Data', Biometrics Accepted
  • X. Chen, P. Liu, H-H. Chou (2013), 'Whole-genome thermodynamic analysis reduces siRNA off-target effects', PLoS ONE , Pages 8(3): e58326.
  • Yaqing Si, Peng Liu, Pinghua Li, and Thomas Brutnell (2013), 'Model-based clustering of RNA-seq dat', Bioinformatics Accepted
  • Will Landau and Peng Liu (2013), 'Dispersion Estimation and Its Effect on Test Performance in RNA-seq Data Analysis: A Simulation-Based Comparison of Methods', PLoS ONE Accepted
  • Zuowei Wu, Orhan Sahin, Zhangqi Shen, Peng Liu, Willium G. Miller and Qijing Zhang (2013), 'Multi-omics approaches to deciphering a hypervirulent strain of Campylobacter jejuni', in Genome Biology and Evolution Accepted

Recent Presentations:


  • "A novel Bayesian approach for differential gene expression analysis with RNA-seq data", Joint Statistics Meeting 2013, Montreal, Canada,
  • "An optimal test for detecting differential expression using RNA-seq data", University of Missouri, Columbia,
  • "Comparative analysis of RNA-seq data from different organisms, topic-contributed session", Joint Statistics Meeting 2012, San Diego, CA,
  • "An optimal test with maximum average power while controlling FDR with application to RNA-seq data", ICSA 2012 Applied Statistics Symposium, Boston, MA,
  • "Model-Based Clustering for RNA-seq Data", Conference on Statistical Analyses For Next Generation Sequencing, University of Alabama at Birmingham,