Computational Biology and System medicine group

Cun’s Lab at CHCMU use and develop statistics and machine learning methods and softwares for omic data analysis and integration. We are particularly interested in complex biological data modeling, such as high-throughput genomic data, network biology, population genomics and related evolutionary problems. Currently, my research projects are mainly focus on following topics:

• Computational genomics
  • Genetic variation calling methods in genomic data
  • Personality analysis in single cell omic data
  • Multi-omics modeling and analysis in disease(cancer)
  • Evolutionary genomics
• Medical informatics
  • Applying deep learning to clinal image classification