Nan Xi is a Ph.D. student from the Department of Statistics. His research interests include Deep Learning, Machine learning and their application to bioinformatics. He holds a master’s degree in economics from Nankai University and a bachelor’s degree in computer science from Dalian University of Technology. Before joining JSB, he has been working as a programmer in Panasonic for 2 years and a banker in China Development Bank for 3 years. He loves weightlifting, basketball and boxing.
Currently Tenure-track Assistant Professor in the Department of Mathematics and Statistics at Loyola University of Chicago.
70. Xi, N.M. and Li, J.J. (2023). Exploring the optimization of autoencoder design for imputing single-cell RNA sequencing data. Computational and Structural Biotechnology Journal 21:4079-4095.
61. Song, D.*, Xi, N.M.*, Li, J.J., and Wang, L. (2022). scSampler: fast diversity-preserving subsampling of large-scale single-cell transcriptomic data. Bioinformatics 38(11):3126–3127. [ PYTHON PACKAGE ] [ R PACKAGE ]
54. Xi, N.M. and Li, J.J. (2021). Protocol for executing and benchmarking eight computational doublet-detection methods in single-cell RNA sequencing data analysis. STAR Protocols 2(3):100699. [ SOFTWARE ]
45. Xi, N.M. and Li, J.J. (2021). Benchmarking computational doublet-detection methods for single-cell RNA sequencing data. Cell Systems 12(2):176–194. [ CODE ] [ DATA ] [ SSRN's Top Downloaded Paper of Apr 9 - Jun 7, 2021 in Computational Biology eJournal ]
