Research

My research interest concerns in the development of statistical methods and models for computational biology. Currently, my research  projects are mainly focus on following topics:

  • Evolutionary approaches to tumorigenesis
  • Development of prognostic and predictive markers and signatures
  • Novel computational approaches to integrative genomics data analysis

 

Software

  • Sclust:  A C++/R package for inference of subclonal populations in cancer genomes using smoothing splines。
  • FrSVM:  an R program, short of Filter by highly ranked gene for Support Vector Machine, for microarray classification.
  • netClass: An R package for network-Based microarray Classification