At CURE Lab, we focus on innovative research that integrates bioinformatics and computational biology.
MiRSystem2 is an advanced web-based tool for predicting microRNA-mRNA interactions and enhancing assessments of their downstream enriched functions and pathways. It integrates multiple existing algorithms, databases, and our proposed CNN-based model to support prediction of provided sequences.
International Conference on Intelligent Biology and Medicine (ICIBM) 2024 (Houston, Texas)
Using whole genome sequencing data, we developed a model achieving 90.4% accuracy in predicting resistance in non-tuberculous mycobacteria.
46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (Orlando, Florida)
A CNN-based approach with transfer learning outperformed traditional methods in identifying microRNA-mRNA binding sites.
American Association for Cancer Research 2024 Annual Meeting (San Diego, California)
TWNeoDB is the first web-based database for tumor neoantigens specific to the Taiwanese population, supporting personalized cancer vaccine development.
American Association for Cancer Research 2024 Annual Meeting (San Diego, California)
Developed an integrated system to identify tumor-specific antigens from multi-omics data, aiding in cancer immunotherapy research.
American Association for Cancer Research 2023 Annual Meeting (Orlando, Florida)
