Dr. Xiujuan Lei

Shaanxi Normal University

Topic: Prediction of The Association Between Multi-Omics Data and Diseases Based on Artificial Intelligence

Time: (Sunday), March 26, 2023, 16:30-17:30

Venue: The second meeting room on the 1F of Junwu Hall, Guangxi University

Abstract: With the advancement of sequencing technologies, genomic, transcriptomic, proteomic, metabolomic, and microbiomic data have provided a solid foundation for studying the pathogenic mechanisms of complex diseases. These omics data are characterized by high dimensionality, massive volume, and heterogeneous nature. Based on the analysis of these characteristics and relevant databases, this study first introduces common methods for calculating similarity in biological networks. Subsequently, our team shares research efforts utilizing artificial intelligence methods such as swarm intelligence optimization, matrix completion, and especially deep learning in predicting circRNA-RBP binding sites, as well as in predicting the associations between circRNA, metabolites, microbiome data, and diseases.

Speaker Bio: Xiujuan Lei is a professor and doctoral supervisor at the School of Computer Science, Shaanxi Normal University, China. She serves as executive committee member of the Bioinformatics and Artificial Life Special Committee of the Chinese Association for Artificial Intelligence, and as one of the inaugural members of the Bioinformatics Committee of the China Computer Federation. She is also among the first members of the Intelligent Health and Bioinformatics Committee of the Chinese Association of Automation, and a committee member of the Theory of Computer Science Special Committee of the China Computer Federation. She is a council member of the Shaanxi Computer Federation, Shaanxi College Association for Science and Technology, and the Shaanxi Women Scientist Association. She is a senior member of the CCF, CAAI, and the CAA, as well as a member of IEEE, ACM, and SIGBIO. She serves as an editorial board member for the "Chinese Journal of Electronics". She has presided 4 projects funded by the National Natural Science Foundation of China and 3 provincial-level projects. She has authored 1 monograph published by science press, and has published over 100 research papers. Her accolades include the First Prize and Second Prize of the Shaanxi College Science and Technology Awards (Natural Science), and she was recognized in the 2021 Stanford global top 2% scientists list. Her primary research interests include intelligent computing, bioinformatics, machine learning, and deep learning.

Organizer: School of Computer, Electronics and Information