PROFESSIONAL SUMMARY

                     

                   Shiquan Sun, Ph.D.

      Professor, Department of Epidemiology and Biostatistics

 

Shiquan Sun is a Professor of Epidemiology and Biostatistics. He received his PhD degree from Xi'an Jiaotong University in 2017, completed his postdoctral training in Biostatistics and Human Genetics at University of Michigan in 2020 and joined the faculty at Xi'an Jiaotong University, School of Public Health in 2020.

 

 

 

CONTACT

Xi'an Jiaotong University, School of Public Health

EMAIL: sqsunsph@xjtu.edu.cn

ADDRESS: No.76 Yanta West Road, Xi'an, Shaanxi

ZIP: 710061

WEB: https://sqsun.github.io/

RESEARCH

Our group focuses on developing statistical methods and computational tools for genomic studies, including large-scale genome-wide association studies, bulk and single cell sequencing studies, and bisulfite sequencing studies.

SELECTED PUBLICATIONS

 

1. Shiquan Sun*, Jiaqiang Zhu*, and Xiang Zhou. Statistical analysis of spatial expression pattern for spatially resolved transcriptomic studies. Nature Methods, 17(2020): 193-200.

 
2. Ying Ma*, Shiquan Sun*, Xuequn Shang, Evan T. Keller, Mengjie Chen, and Xiang Zhou. Integrative differential expression and gene set enrichment analysis using summary statistics for scRNA-seq studies. Nature Communications, 11(2020): 1585.
 
3. Shiquan Sun, Jiaqiang Zhu, Ying Ma, and Xiang Zhou. Accuracy, robustness and scalability of dimensionality reduction methods for single-cell RNA-seq analysis. Genome Biology, 20(2019): 269.
 
4. Yue Fan, Lei Li, and Shiquan Sun. Powerful and accurate detection of temporal gene expression patterns from multi-sample multi-stage single-cell transcriptomic data with TDEseq. Genome Biology, 25(2024): 96.
 
5. Shiquan Sun, Michelle Hood, Laura Scott, Qinke Peng, Sayan Mukherjee, Jenny Tung, and Xiang Zhou. Differential expression analysis for RNAseq using Poisson mixed models. Nucleic Acids Research, 45(2017): e106.
 
 
Note: *: co-first author; #: co-corresponding author.

JOBS

Applicants should have an academic degree in biostatistics, bioinformatics, computational biology, computer science, electronic engineering, mathematics, or related quantitative discipline.

 

Applicants should send a CV, and a short research statement to me.