Research

___: corresponding author;  bolded: trainee; *: equal contribution

Statistical Methodologies

1. Chang Su, Dongsoo Lee, Peng Jin, Jingfei Zhang. Cell-type-specific mapping of enhancers and target genes from single-cell multimodal data. Accepted in principle, Nature Communications (2025).  [preprint] [R package]

2. Chang Su, Mengyu He, Vanessa Van Doren, Colleen Kelley, Yi-Juan Hu. TestNet: A Testing Method for Inferring Microbial Networks Using Compositional Data with FalseDiscovery Rate Control.  Under review (2025). 

3. Biao Cai, Jingfei Zhang, Hongyu Li, Chang Su and Hongyu Zhao. Statistical inference of cell-type proportions estimated from bulk expression data. Journal of the American Statistical Association (2024). [paper]

4. Chang Su, Jingfei Zhang, Hongyu Zhao. Estimating cell-type-specific gene co-expression networks from bulk gene expression data with an application to Alzheimer’s disease. Journal of the American Statistical Association (2024). [preprint] [code] [R package]

5. Chang Su, Zichun Xu, Xinning Shan, Biao Cai, Hongyu Zhao, Jingfei Zhang. Cell-type-specific co-expression inference from single cell RNA-sequencing data. Nature Communications (2023). [paper] [R package] [Python package]

6. Xinyi Zhong*, Chang Su*, Zhou Fan. Empirical Bayes PCA in high dimensions. Journal of the Royal Statistical Society: Series B (Statistical Methodology) (2022). [paper] [software]

Collaborative Work

7. Hussain Bukhari*, Chang Su*, Elvisha Dhamala, Zijin Gu, Keith Jamison, Amy Kuceyeski. Graph‐matching distance between individuals' functional connectomes varies with relatedness, age, and cognitive score. Human Brain Mapping (2023). [paper]

8. Biqing Zhu, Jae-Min Park, Sarah Coffey, ..., Chang Su, Hongyu Zhao, David A Hafler, Sreeganga S Chandra, Le Zhang. Single-cell transcriptomic and proteomic analysis of Parkinson’s disease Brains.  Science Translational Medicine (2024). [paper]

9. Le Zhang, Chuan Hua He, Sarah Coffey, ..., Chang Su, ..., David A Hafler, Hongyu Zhao, Stephen M Strittmatter. Single-cell transcriptomic atlas of Alzheimer’s disease middle temporal gyrus reveals region, cell type and sex specificity of gene expression with novel genetic risk for MERTK in female. Under revision at Nature Communications. [preprint]