Note: The ones with * list me as the corresponding/co-corresponding author.

Nonparametric Bayesian Methods and Applications in Statistical Genetics and Bioinformatics
1. Dunson, D. B. and Xing, C. (2009). Bayesian nonparametric modeling of multi-variate unordered categorical data. Journal of the American Statistical Association 104, 1042-1051.
2. Xing, C.* and Dunson, D. B. (2011). Bayesian inference for genomic data integration reduces misclassification rate in predicting protein-protein interactions. PLoS Computational Biology 7(7), e1002110. PMID: 21829334 (reported online by GenomeWeb).
3. Xing, C.*, Kunihama, T. Kiel, D. P., Cupples, L. A., and Dunson, D. B. Genetic interaction networks for integrative identification of disease risks in signal pathways using a nonparametric Bayes model. American Journal of Human Genetics (to be submitted, manuscript available upon request).
4. Xing, C.*, Yang, Q., Allen, A. S., and Li, Y-J. Genetic association using Bayesian modeling for the family based and inrelated case-control data (to be submitted).
5. Xing, C.* et al. Kiel, D. P. Fat intake by gene interactions on quantitative computed tomography derived bone density (to be submitted).

Semi-Parametric Modeling, Multivariate Analysis and Regression Modeling in Statistical Genetics
6. Xing, C.*, Dupuis, J., Cupples, L. A. Meigs, J. B., Lin, X, and Allen, A. S. A robust approach for analyzing secondary phenotypes in case-control genetic association studies. American Journal of Human Genetics (submitted, manuscript available upon request).
7. Guo, W., Yang, M., Xing, C., and Peddada, S. D. (2012). Analysis of high dimensional data using predefined set and subset information, with applications to genomic data. BMC Bioinformatics 13, 177 (highly accessed).
8. Xing, C.*, Satten, G. A., and Allen, A. S. (2011). A weighted accumulation test for associating rare genetic variation with quantitative phenotypes. BMC Proceedings 5(Suppl 9), S6,doi:10.1186/1753-6561-5-S9-S6.
9. Xing, C., Huang, J. Hsu, Y-H, Destefano, A. L., Heard-Costa, N. L., Wolf, P. A., Seshadri, S., Kiel, D. P. Cupples, L. A., and Dupuis, J. Evaluation of Power of the Illumina HumanOmni5M-4v1 BeadChip to Detect Susceptible Variants for Human Complex Diseases. American Journal of Human Genetics (submitted, manuscript available upon request).
10. Xing, C.*, Dupuis, J., and Cupples, L. A. Performance of Statistical Methods on CHARGE-S Targeted Sequencing Data. Genetic Epidemiology (submitted, manuscript available upon request).
11. Lin H. H., Wang, M., Brody, J. A., BA, Bis, J. C.,…, Xing, C.,…, Cupples, L. A., Bressler, J., Boerwinkle, E. Strategies to Design and Analyze Targeted Sequencing Data: the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Targeted Sequencing Study (submitted).

Time Series/Signal Processing in Genomics
12. Xing, C.*, Bitzer, D. L., and Alexander, W. E., Vouk, M. A., and Stomp A-M. (2009). Identification of protein-coding sequences using the hybridization of 18S rRNA and mRNA during translation. Nucleic Acids Research 37(2), 591-601.

Conference Publications
13. Xing, C.*, Bitzer, D. L., Alexander, W. E. and Stomp, A-M. (2007). Thermodynamics exploration to identify donor sites for yeast. Proceedings of the IEEE International Workshop on Genomic Signal Processing & Statistics 65-66.
14. Xing, C.*, Bitzer D. L., Alexander, W. E., Stomp, A. M., Vouk, M. A. (2006). Free energy analysis on the coding region of the individual genes of Saccharomyces cerevisiae. Proceeding of the IEEE Engineering Medicine and Biology Society. 2006; 4225-4228.
15. Xing, C.*, Mishra, M., Vu, S. K., Alexander, W. E., Bitzer, D. L., and Vouk, M. A. (2004). Free energy based analysis of the coding region of Saccharomyces cerevisiae. Technology for Life: North Carolina Symposium on Biotechnology and Bioinformatics 25-27.
16. Xing, C.*, Bitzer, D. L., Alexander, W. E., and Stomp, A-M. (2005). Splicing Sites Identification by Thermodynamic modelling algorithm and analytical method in Saccharomyces Cerevisiae. The North Carolina RNA Society Symposium on RNA Biology (Abstract).
17. Whelan, S. A., Theberge, R., Spencer, J. L., Griffin, P., Xing, C., Steinberg, M. H., Costello, C. E., Klings, E. S., Mccomb, M. E. (2013). Protein and Post-Translational Modification Markers in Sickle Cell Disease. 61st ASMS Conference on Mass Spectrometry and Allied Topics.
18. Leymarie, N., Griffin, P., Xing, C., Jonscher, K., Kolarich, D., Orlando, R., Mccomb, M., Zaia, J. (2013). Ability of the glycoproteomics comminuty to profile N-glycosylation of prostate specific antigen by mass spectrometry: an ABRF 2013 Interlaboratory Study. 61st ASMS Conference on Mass Spectrometry and Allied Topics.

Book Chapters
19. Chuanhua Xing. Methods of Molecular Biology Series: Methods to predict translated pseudogenes: hybridization of 18S rRNA and mRNA during translation. Humana Press (www.springer.com/humana), 2013 (in press).

Dissertation
20. Chuanhua Xing. (2007). Analysis and Identification of Protein-coding Sequences for Yeast Using Signal Processing Approaches

Working Papers
21. Xing, C.* Allen, A. S, and Lin, X. Secondary phenotypes in sequencing case-control genetic association studies considering gene-secondary phenotype interaction.
22. Hua, Z, Hu, M., and Xing, C. Bayesian Biomarker Integrative Inference in Response Prediction.
23. Xing, C.*, Lin, H., Kunihama, T. and Dunson, D. B., and Lunneta, K. Functional SNP set analysis in atrial fibrillation.
24. Xing, C.* and Shi, M. A conserved sequence and identity by descent mapping based model to identifying rare disease-risk variants avoids large sample size and low power.
25. Xing, C.*, Griffin, P., and Klings, E. S. Joint analysis of Microarray data with phenotype-genotype data for elevated tricuspid regurgitant jet velocity in sickle cell disease.