Dr. Shao is interested in system biology of traditional Chinese medicine, bioinformatics, and single-cell omics. He is a member of MAQC society.
1. Shao X, Li C, Yang H, Lu X, Liao J, Qian J, Wang K, Cheng J, Yang P, Chen H*, Xu X*, Fan X*. Knowledge-graph-based cell-cell communication inference for spatially resolved transcriptomic data with SpaTalk. Nat. Commun. 2022. 13(1):4429.
2. Shao X, Yang H, Zhuang X, Liao J, Yang P, Cheng J, Lu X, Chen H*, Fan X*. scDeepSort: a pre-trained cell-type annotation method for single-cell transcriptomics using deep learning with a weighted graph neural network. Nucleic Acids Res. 2021. 49(21):e122.
3. Shao X, Liao, Li C, Lu X, Cheng J, Fan X*. CellTalkDB: a manually curated database of ligand-receptor interactions in humans and mice. Brief Bioinform. 2021. 22(4):bbaa269.
4. Shao X, Lu X, Liao J, Chen H, Fan X*. New avenues for systematically inferring cell-cell communication: through single-cell transcriptomics data. Protein Cell. 2020;11(12):866-880.
5. Shao X, Liao J, Lu X, Xue R, Ai N, Fan X*. scCATCH: Automatic Annotation on Cell Types of Clusters from Single-Cell RNA Sequencing Data. iScience. 2020;23(3):100882.
