Research Interests

Bioinformatics development and collaborative researh

Develop bioinformatics tools and analytic approaches to analyze next-generation sequencing data including genomic, epigenomic, and transcriptomic data. At the same time, we actively collaborate with biologists and physician-scientists working on prostate cancer, kidney cancer, central nervous system (CNS) tumors, and other diseases.

We have developed many useful tools to analyze and visualize high dimensional biomedical data . These tools have been widely used by academic institutions and industries, and have been cited hundreds of times. For example:

Biomarker discovery

Identification of biomarkers (i.e., SNPs, mutations, DNA methylations, copy number variations, RNA splice variants) that are associated with certain phenotypes such as poor prognosis, tumor subtypes, drug resistance, etc. With the aim to help developing new therapeutic agents, and enable stratified healthcare and precision medicine. For example:

Data mining and integration

High dimensional biomedical data mining and integration using system biology and machine learning approaches. With the aim to use data science approaches to build descriptive models or predictive models to improve healthcare.