Research on Bioinformatics Methods for Integrating Multi-level Omics Data to Discover Complex Disease Biomarkers, National Natural Science Foundation of China (NSFC) (NO. 61973190), Participant

Project illustration

This NSFC project develops bioinformatics methods that integrate multi-level omics data to discover biomarkers of complex diseases. High-throughput proteomics, genomics, transcriptomics, and metabolomics are jointly modeled to reveal molecular interaction networks and select sparse, interpretable biomarker panels.

Lingyu Li
Lingyu Li
Postdoctoral Fellow

Research in bioinformatics, including spatial transcriptomics, sparse statistical learning, and biomarker discovery.