Sha Cao, PhD

Key Publications

1. Wan C, Dang P, Zhao T, Zang Y, Zhang C, Cao S^†. "Bias Aware Probabilistic Boolean Matrix Factorization." In The 38th Conference on Uncertainty in Artificial Intelligence (UAI). 2022.
2. Chang W, Dang P, Wan C, Lu X, Fang Y, Zhao T, Zang Y, Li B, Zhang C, Cao S^†. Spatially and Robustly Hybrid Mixture Regression Model for Inference of Spatial Dependence. 2021 IEEE International Conference on Data Mining (ICDM), 2021, pp. 31-40, doi: 10.1109/ICDM51629.2021.00013.
3. Zhou J, Lu X, Chang W, Wan C, Lu X, Zhang C^†, and Cao S^†. "PLUS: Predicting cancer metastasis potential based on positive and unlabeled learning." PLoS computational biology 18, no. 3 (2022): e1009956.
4. Alghamdi N, Chang W, Dang P, Lu X, Wan C, Gampala S, Huang Z, Wang J, Ma Q, Zang Y, Fishel M^†, Cao S^†, Zhang C^†. A graph neural network model to estimate cell-wise metabolic flux using single cell RNA-seq data. Genome Res. 2021;gr.271205.120. doi:10.1101/gr.271205.120
5. Chang W, Wan C, Zang Y, Zhang C^†, Cao S^†. Supervised clustering of high dimensional data using regularized mixture modeling. Briefings in Bioinformatics. 2021 Jul;22(4):bbaa291.