@article{wang_maity_hsiao_voora_kaddurah-daouk_tzeng_2015, title={Module-based association analysis for omics data with network structure}, volume={10}, number={3}, journal={PLoS One}, author={Wang, Z. and Maity, A. and Hsiao, C. K. and Voora, D. and Kaddurah-Daouk, R. and Tzeng, J. Y.}, year={2015} }
 @article{wang_maity_luo_neely_tzeng_2015, title={Complete Effect-Profile Assessment in Association Studies With Multiple Genetic and Multiple Environmental Factors}, volume={39}, ISSN={["1098-2272"]}, url={http://www.scopus.com/inward/record.url?eid=2-s2.0-84921048438&partnerID=MN8TOARS}, DOI={10.1002/gepi.21877}, abstractNote={ABSTRACTStudying complex diseases in the post genome‐wide association studies (GWAS) era has led to developing methods that consider factor‐sets rather than individual genetic/environmental factors (i.e., Multi‐G‐Multi‐E studies), and mining for potential gene‐environment (G×E) interactions has proven to be an invaluable aid in both discovery and deciphering underlying biological mechanisms. Current approaches for examining effect profiles in Multi‐G‐Multi‐E analyses are either underpowered due to large degrees of freedom, ill‐suited for detecting G×E interactions due to imprecise modeling of the G and E effects, or lack of capacity for modeling interactions between two factor‐sets (e.g., existing methods focus primarily on a single E factor). In this work, we illustrate the issues encountered in constructing kernels for investigating interactions between two factor‐sets, and propose a simple yet intuitive solution to construct the G×E kernel that retains the ease‐of‐interpretation of classic regression. We also construct a series of kernel machine (KM) score tests to evaluate the complete effect profile (i.e., the G, E, and G×E effects individually or in combination). We show, via simulations and a data application, that the proposed KM methods outperform the classic and PC regressions across a range of scenarios, including varying effect size, effect structure, and interaction complexity. The largest power gain was observed when the underlying effect structure involved complex G×E interactions; however, the proposed methods have consistent, powerful performance when the effect profile is simple or complex, suggesting that the proposed method could be a useful tool for exploratory or confirmatory G×E analysis.}, number={2}, journal={GENETIC EPIDEMIOLOGY}, publisher={Wiley-Blackwell}, author={Wang, Zhi and Maity, Arnab and Luo, Yiwen and Neely, Megan L. and Tzeng, Jung-Ying}, year={2015}, month={Feb}, pages={122–133} }
 @article{kaddurah-daouk_bogdanov_wikoff_zhu_boyle_churchill_wang_rush_krishnan_pickering_et al._2013, title={Pharmacometabolomic mapping of early biochemical changes induced by sertraline and placebo}, volume={3}, journal={Translational Psychiatry}, author={Kaddurah-Daouk, R. and Bogdanov, M. B. and Wikoff, W. R. and Zhu, H. and Boyle, S. H. and Churchill, E. and Wang, Z. and Rush, A. J. and Krishnan, R. R. and Pickering, E. and et al.}, year={2013} }
 @article{kaddurah-daouk_yuan_boyle_matson_wang_zeng_zhu_dougherty_yao_chen_et al._2012, title={Cerebrospinal fluid metabolome in mood disorders-remission state has a unique metabolic profile}, volume={2}, journal={Scientific Reports}, author={Kaddurah-Daouk, R. and Yuan, P. X. and Boyle, S. H. and Matson, W. and Wang, Z. and Zeng, Z. B. and Zhu, H. J. and Dougherty, G. G. and Yao, J. K. and Chen, G. and et al.}, year={2012} }
 @inproceedings{bahram_jiang_wang_grace_li_srinivasan_rhee_xu_2010, title={DKSM: Subverting virtual machine introspection for fun and profit}, booktitle={2010 29th ieee international symposium on reliable distributed systems srds 2010}, author={Bahram, S. and Jiang, X. X. and Wang, Z. and Grace, M. and Li, J. K. and Srinivasan, D. and Rhee, J. and Xu, D. Y.}, year={2010}, pages={82–91} }
 @inproceedings{wang_jiang_2010, title={hypersafe: A lightweight approach to provide lifetime hypervisor control-flow integrity}, booktitle={2010 IEEE symposium on security and privacy}, author={Wang, Z. and Jiang, X. X.}, year={2010}, pages={380–395} }
 @inproceedings{wang_jiang_cui_wang_grace_2009, title={ReFormat: Automatic reverse engineering of encrypted messages}, volume={5789}, booktitle={Computer security - esorics 2009, proceedings}, author={Wang, Z. and Jiang, X. X. and Cui, W. D. and Wang, X. Y. and Grace, M.}, year={2009}, pages={200–215} }
 @inproceedings{wang_jiang_cui_wang_2008, title={Countering persistent kernel rootkits through systematic hook discovery}, volume={5230}, booktitle={Recent advances in intrusion detection, raid 2008}, author={Wang, Z. and Jiang, X. X. and Cui, W. D. and Wang, X. Y.}, year={2008}, pages={21–38} }
 @article{wang_smith_atchley_2007, title={Application of complex demodulation on bZIP and bHLH-PAS protein domains}, volume={207}, DOI={10.1016/j.mbs.2007.01.004}, abstractNote={Proteins are built with molecular modular building blocks such as an alpha-helix, beta-sheet, loop region and other structures. This is an economical way of constructing complex molecules. Periodicity analysis of protein sequences has allowed us to obtain meaningful information concerning their structure, function and evolution. In this work, complex demodulation (CDM) is introduced to detect functional regions in protein sequences data. More specifically, we analyzed bZIP and bHLH-PAS protein domains. Complex demodulation provided insightful information about changing amplitudes of periodic components in protein sequences. Furthermore, it was found that the local amplitude minimum or local amplitude maximum of the 3.6-aa periodic component is associated with protein structural or functional information due to the observation that the extrema are mainly located in the boundary area of two structural or functional regions.}, number={2}, journal={Mathematical Biosciences}, author={Wang, Z. and Smith, C. E. and Atchley, W. R.}, year={2007}, pages={204–218} }
 @article{qiu_chen_wang_2004, title={An analysis of backlink counts and Web Impact Factors for Chinese university websites}, volume={60}, ISSN={["1588-2861"]}, DOI={10.1023/B:SCIE.0000034387.76981.83}, number={3}, journal={SCIENTOMETRICS}, author={Qiu, JP and Chen, JQ and Wang, Z}, year={2004}, pages={463–473} }