Publications

- Published/accepted

• Yushu Shi, Liangliang Zhang, Kim-Anh Do, Christine B. Peterson and Robert R. Jenq (2022) “Sparse tree-based clustering of microbiome data to characterize microbiome heterogeneity in pancreatic cancer,” in Journal of the Royal Statistical Society: Series C  (Applied Statistics).

• Zaker Schwabkey, …,Liangliang Zhang, et al. (2022), "Diet-derived metabolites and mucus link the gut microbiome to fever after cytotoxic cancer treatment", in Science Translational Medicine.

• David Santos, Liangliang Zhang, et al. (2022), “Protocolized Training of Advanced Practice Providers for Robotic Surgery Improves the Quality of Intraoperative Assistance”,  in Journal of The Society of Laparoscopic & Robotic Surgeons.

• Maren Schmiester,..., Liangliang Zhang, et al. (2022), ‘‘Flow cytometry can reliably capture gut microbial composition in healthy adults as well as dysbiosis dynamics in patients with aggressive B-cell non-Hodgkin lymphoma”, in Gut Microbes. 

• Yushu Shi, Liangliang Zhang, Kim-Anh Do, Christine B. Peterson and Robert R. Jenq (2022), “Performance determinants of unsupervised clustering methods for microbiome data”, in Microbiome.

• Maren Schmiester,..., Liangliang Zhang, et al. (2021), “Flow Cytometric Analysis of Microbial Diversity in Patients with Aggressive Lymphoma Disease Undergoing Chemoimmunotherapy,” in Blood.

• K. Lee and Liangliang Zhang (2021), “Cumulative Effects of Poverty on Children’s Social-Emotional Development: Absolute Poverty and Relative Poverty,” in Community Mental Health Journal.

• David Santos and Liangliang Zhang, et al. (2021), “Chemotherapy and Abdominal Wall Closure Technique Increase the Probability of Postoperative Ventral Incisional Hernia in Patients With Colon Cancer,” in The American Surgeon.

• Hajjar J, Mendoza T, Liangliang Zhang, et al. (2021), "Associations between the gut microbiome and fatigue in cancer patients," in Scientific reports.

• Liangliang Zhang, Yushu Shi, Kim-Anh Do, Robert R. Jenq and Christine B. Peterson (2021), “ProgPerm: Progressive permutation for a dynamic representation of the robustness of microbiome discoveries”, in BMC Bioinformatics. 

• Liangliang Zhang, Byron A Zambrano,  Jongeun Choi, Whal Lee, Seungik Baek and Chae Young Lim (2020), "Intraluminal thrombus effect on the progression of abdominal aortic aneurysms by using a multistate continuous-time Markov chain model", in Journal of International Medical Research.

• Yingjie Li, Liangliang Zhang and Tapabrata Maiti (2020), “High Dimensional Classification for Spatially Dependent Data with Application to Neuroimaging”, in Electronic Journal of Statistics.

• Cielito C. Reyes-Gibby, Jian Wang, Liangliang Zhang, et al. (2020), “Oral microbiome and onset of oral mucositis in patients with squamous cell carcinoma of the head and neck”, in Cancer.

• Liangliang Zhang, Yushu Shi, Robert R. Jenq, Kim-Anh Do and Christine B. Peterson (2020), "Bayesian compositional regression with structured priors for microbiome feature selection", in Biometrics. 

•  Yushu Shi, Liangliang Zhang, Kim-Anh Do, Christine B. Peterson and Robert R. Jenq (2020), “aPCoA: Covariate Adjusted Principal Coordinates Analysis”, in Bioinformatics.

• Erick Riquelme, Yu Zhang, Liangliang Zhang, et al. (2019), "Tumor microbiome diversity and composition influence pancreatic cancer outcomes", in Cell 178 (4), 795-806. e12.

• Yingjie Li, Liangliang Zhang, Andrea Bozoki, David C. Zhu, Jongeun Choi and Tapabrata Maiti (2019), “Early prediction of Alzheimer’s disease using longitudinal volumetric MRI data from ADNI”, in Health Services and Outcomes Research Methodology, 20(1), 13-39.

• Mingge Shang, Liangliang Zhang, Xinhua Chen and Shusen Zheng (2019), "Identification of Hub Genes and Regulators Associated with Pancreatic Ductal Adenocarcinoma Based on Integrated Gene Expression Profile Analysis", in Discovery Medicine 28, no. 153, 159-172.

• Liangliang Zhang, Zhenxiang Jiang, Jongeun Choi, Chae Young Lim, Tapabrata Maiti and Seungik Baek (2019), “Patient-Specific Prediction of Abdominal Aortic Aneurysm Expansion using Bayesian Calibration,” in IEEE Journal of Biomedical and Health Informatics, 23(6), 2537-2550.

• Liangliang Zhang, Yingjie Li, Chae Young Lim, Tapabrata Maiti, Jongeun Choi and David C. Zhu (2018), “Analysis on conversion of Alzheimer’s disease using a multi-state Markov chain model”, in Statistical Methods in Medical Research, 28(9), 2801-2819.

• C.L. Holz, R. K. Nelli, M. E. Wilson, L. Zarski, W. Azab, R. Baumgardner, N. Osterrieder, A. Pease, Liangliang Zhang, et al. (2017), “Viral genes and cellular markers associated with neurological complications during herpesvirus infections”, in Journal of General Virology, 98(6), 1439-1454.

• Sajjad Seyedsalehia, Liangliang Zhang, Jongeun Choi and Seungik Baek (2015), “Prior distributions of material parameters for Bayesian calibration of growth and remodeling computational model of abdominal aortic wall ,” in Journal of Biomedical Engineering, 137(10).

• Liangliang Zhang (2009), “Survey to Monthly Consumption of College students-Taking Nanjing University of Posts and Telecommunications as an example”, in Journal of Statistical Thinktank (China).

- Submitted

• Xuan Cao, Liangliang Zhang, and Kyoungjae Lee. “Development of network-guided transcriptomic risk score for disease prediction,” in Stat, submitted in Oct 2022.

• Fang Yang, Liangliang Zhang, et al. “Consistent group selection using nonlocal priors in regression”, in Statistical Papers, submitted in May 2022.

- In preparation

• Liangliang Zhang, Chae Young Lim, Christine B. Peterson and Tapaprata Maiti, “A New Flexible Shrinkage Prior Being Local and Nonlocal for Bayesian Inference in High-dimensional Models”, in preparation.

• Liangliang Zhang, Kim-Anh Do, Robert R. Jenq and Christine B. Peterson, "Bayesian Logistic Regression and Survival Models with Constrained and Structured Priors for Microbiome Feature Selection", in preparation.