RESEARCH INTERESTS

      Wan Lab is interested in a broad range of research areas in bioinformatics, computational biology and machine learning, both algorithmically and biologically.

• Bioinformatics/Computational Biology: 

  • Single-Cell Analysis, Spatial Transcriptomics;

  • Multi-Omics Analysis, Alternative Splicing, Transcriptomics; 

  • NGS Data Analysis, Genomics/Genetics, Epigenetics/Epigenomics; 

  • Proteomics, Sequence Analysis, Protein Subcellular Localization, Protein Function Prediction, Protein Structure Prediction; 

  • Cancer Research, Intelligent Healthcare, Precision Medicine;

  • Bioinformatics Tool Development.

• Machine Learning: 

  • Deep Learning, Transfer Learning, Interpretable Machine Learning.

  • Big Data Analytics, High-Dimensional Data Analysis, Dimension Reduction; 

  • Unsupervised Learning, Supervised Learning, Data and Text Mining, Computational Models; 

  • Semi-Supervised Learning, Transductive Learning, Kernel Learning, Ensemble Learning;

  • Multi-label Classification, Discriminative Models, Classification/Prediction/Regression,  Optimization.