1.      A data-driven clustering method for time course gene expression

Nucleic Acids Res, 34,  1261-69. Joint with P M, CI Castillo-Davis, and W Zhong. Software download here!

2.      Implementation of estimating-function based inference procedures with MCMC samplers.

J Amer Statist Assoc, to appear. Joint with L Tian and LJ Wei.

3.      Bayesian analysis of single molecule experiments (with discussions).

J Roy Statist Soc. C, 54, 469-506. Joint with Sam Kou and S. Xie.

4.      Combining Phylogenetic Motif Discovery and Motif Clustering to Predict Co-Regulated Genes.

Bioinformatics, 21. 3832-9. Joint with S. Jensen and L. Shen.

5.      Bayesian modeling and inference for motif discovery.

In Bayesian Inference for Gene Expression and Proteomics. Do et al. (eds). Cambridge U Press.  Joint with Mayetri Gupta

6.      Recursive SVM Feature Selection and Sample Classification for Proteomics Mass-Spectrometry Data.

BMC Bioinformatics, 7, 197. Joint with X Zhang, X Lu, WH Wong et al.

7.      Bayesian models for pooling microarray studies with multiple sources of replications.

BMC Bioinformatics, 7, 247. Joint with EM Conlon and JJ Song.

8.      A Coalescence-Guided Hierarchical Bayesian Method for Haplotype Inference.

AM J Hum Genet, 79, 313-22. Joint with Y Zhang and T Niu.

9.      Statistical assessment of the global regulatory role of histone acetylation in Saccharomyces cerevisiae.

Genome Biology, 7 (8): R70. Joint with GC Yuan, P Ma and W Zhong.

10.  On Side-chain Conformational Entropy of Proteins.

PLOS Comp Biology, 2 (12): e168 doi:10.1371/journal.pcbi.0020168. Joint with J Zhang.