Haiyan Huang

Associate Professor
Primary Research Area: 
Applied & Theoretical Statistics
Applied Statistics, Bioinformatics/Biostatistics
Research Interests: 
High dimensional and integrative genomic data analysis; Network modeling;Hierarchical multi-label classification; translational bioinformatics
hhuang [at] stat [dot] berkeley [dot] edu
Office / Location: 
317 Evans Hall
Select Publications: 


  1. Wang YXR, Jiang K, Feldman LJ, Bickel PJ, Huang H* (2015). Inferring Gene-Gene Interactions and Functional Modules Using Sparse Canonical Correlation Analysis. Annals of Applied Statistics. 9(1) 300-323. *corresponding author
  2. Wang YXR, Waterman MS*, Huang H* (2014). Gene Coexpression Measures in Large Heterogeneous Samples Using Count Statistics. Proc Natl Acad Sci. USA. 111(46):16371-6.  *co-corresponding authors
  3. Li JJ, Huang H*, Bickel PJ*, Brenner S* (2014). Comparison of D. Melanogaster and C. Elegans Developmental Stages, Tissues, and Cells by modENCODE RNA-seq Data.  Genome Research. 24: 1084-1101. *co-corresponding authors
  4. Jiang CR, Liu CC, Zhou XJ, Huang H* (2014). Optimal Ranking in Multi-label Classification Using Local Precision Rates. Statistica Sinica. 24: 1547-1570. *corresponding author
  5. Kim K, Teng S, Jiang K, Feldman L, Huang H* (2012). Using biologically interrelated experiments to identify pathway genes in arabidopsis. Bioinformatics. 28(6), 815-822. *corresponding author
  6. Li JJ, Jiang CR, Brown BJ, Huang H*, Bickel PJ* (2011). Sparse Linear Modeling of RNA-seq Data for Isoform Discovery and Abundance Estimation. Proc Natl Acad Sci. USA. 108 (50) 19867-19872. *co-corresponding authors
  7. Li Q, Brown JB, Huang H, Bickel PJ. (2011). Measuring Reproducibility of High-throughput Experiments. Annals of Applied Statistics. 5(3), 1752-1779. 
  8. Huang H*, Liu C, Zhou XJ* (2010). Bayesian Approach to Transforming Public Gene Expression Repositories into Disease Diagnosis Databases. Proc Natl Acad Sci. USA. 107 (15) 6823-6828. *co-corresponding authors
  9. Bickel PJ, Boley N, Brown JB, Huang H, Zhang NR (2010). Subsampling Methods for Genomic Inference. Annals of Applied Statistics. 4(4) 1660-1697.
  10. Bickel P, Brown B, Huang H, Li Q (2009). An overview of recent developments in genomics and associated statistical methods. Philosophical Transactions of the Royal Society A 367, 4313-4337. 
  11. Teng S, Huang H (2009). A statistical framework to infer functional gene associations from multiple biologically interrelated microarray experiments. Journal of the American Statistical Association, June 2009, Vol. 104, No. 486.