Wu, Changchun

scRiskCell: A single‐cell framework for quantifying islet risk cells and their adaptive dynamics in type 2 diabetes

Xie, X., Wu, C., Dao, F., Deng, K., Yan, D., Huang, J., Lyu, H., & Lin, H. (2025) · iMeta

Pancreatic function and diabetesSingle-cell and spatial transcriptomics

Cited by 22

Detecting key genes relative expression orderings as biomarkers for machine learning-based intelligent screening and analysis of type 2 diabetes mellitus

Xie, X., Wu, C., Ma, C., Gao, D., Su, W., Huang, J., Deng, K., Yan, D., & Lin, H. (2024) · Expert Systems with Applications

Gene expression and cancer classificationPancreatic function and diabetes

Cited by 17

Applications of gene pair methods in clinical research: advancing precision medicine

Wu, C., Xie, X., Yang, X., Du, M., Lin, H., & Huang, J. (2025) · Molecular Biomedicine

Gene expression and cancer classificationBioinformatics and Genomic Networks

Cited by 10

Interpretable machine learning-guided single-cell mapping deciphers multi-lineage pancreatic dysregulation in type 2 diabetes

Xie, X., Wu, C., Yang, Y., Su, W., Dao, F., Huang, J., Shi, Z., Lyu, H., & Lin, H. (2025) · Cardiovascular Diabetology

Pancreatic function and diabetesSingle-cell and spatial transcriptomics

Cited by 10

Artificial intelligence-powered prediction of diabetic complications: from clinical data to molecular omics

Xie, X., Wu, C., Huang, Z., Zhou, Y., Huang, J., Dao, F., Yan, D., Deng, K., Lyu, H., Ma, C., et al. (2026) · Briefings in Bioinformatics

Artificial Intelligence in HealthcareMachine Learning in Healthcare

Cited by 4