Dr. Zixuan Cang
Assistant Professor of Mathematics, NCSU

Current Projects:
- Topological and Geometric Modeling and Computation of Structures and Functions in Single-Cell Omics Data, 9/1/22 – 8/31/25, $374,000
Publications:
- Cang, Zixuan, Yanxiang Zhao, Axel A. Almet, Adam Stabell, Raul Ramos, Maksim V. Plikus, Scott X. Atwood, and Qing Nie. “Screening cell-cell communication in spatial transcriptomics via collective optimal transport.” Nature Methods (2023) DOI: https://doi.org/10.1038/s41592-022-01728-4
- Ren, Honglei, Benjamin L. Walker, Zixuan Cang, and Qing Nie. “Identifying multicellular spatiotemporal organization of cells with SpaceFlow.” Nature communications 13, no. 1 (2022): 1-14.
- Cang, Zixuan, Qing Nie, Yanxiang Zhao. “Supervised optimal transport.” SIAM Journal on Applied Mathematics 82, no. 5 (2022): 1851-1877
- Cang, Zixuan, Xinyi Ning, Annika Nie, Min Xu, and Jing Zhang. “Scan-IT: Domain segmentation of spatial transcriptomics images by graph neural network.” In BMVC. (2021).
- Almet, Axel A., Zixuan Cang, Suoqin Jin, and Qing Nie. “The landscape of cell-cell communication through single-cell transcriptomics.” Current opinion in systems biology 26 (2021): 12-23.
- Cang, Zixuan, Yangyang Wang, Qixuan Wang, Ken WY Cho, William Holmes, and Qing Nie. “A multiscale model via single-cell transcriptomics reveals robust patterning mechanisms during early mammalian embryo development.” PLoS computational biology 17, no. 3 (2021): e1008571.
- Cang, Zixuan and Qing Nie. “Inferring spatial and signaling relationships between cells from single cell transcriptomic data.” Nature communications 11, no. 1 (2020): 1-13.
- Cang, Zixuan, and Guo-Wei Wei. “Persistent cohomology for data with multicomponent heterogeneous information.” SIAM Journal on Mathematics of Data Science 2, no. 2 (2020): 396-418.
- Cang, Zixuan, Elizabeth Munch, and Guo-Wei Wei. “Evolutionary homology on coupled dynamical systems with applications to protein flexibility analysis.” Journal of Applied and Computational Topology 4, no. 4 (2020): 481-507.
- Cang, Zixuan, Lin Mu, and Guo-Wei Wei. “Representability of algebraic topology for biomolecules in machine learning based scoring and virtual screening.” PLoS computational biology 14, no. 1 (2018): e1005929.
- Cang, Zixuan, and Guo‐Wei Wei. “Integration of element specific persistent homology and machine learning for protein‐ligand binding affinity prediction.” International journal for numerical methods in biomedical engineering 34, no. 2 (2018): e2914.
- Zhao, Rundong, Zixuan Cang, Yiying Tong, and Guo-Wei Wei. “Protein pocket detection via convex hull surface evolution and associated Reeb graph.” Bioinformatics 34, no. 17 (2018): i830-i837.
- Cang, Zixuan, and Guo-Wei Wei. “TopologyNet: Topology based deep convolutional and multi-task neural networks for biomolecular property predictions.” PLoS computational biology 13, no. 7 (2017): e1005690.
- Cang, Zixuan, and Guo-Wei Wei. “Analysis and prediction of protein folding energy changes upon mutation by element specific persistent homology.” Bioinformatics 33, no. 22 (2017): 3549-3557.