Key words: Statistical machine learning, data mining, bioinformatics, nonparametric statistics, bioinformatics, cancer genomics
Dr. Yufeng Liu’s research is focused on developing statistical/computational methods and tools with applications to complex and high dimensional data. In particular, he is interested in statistical machine learning methods and theory. His previous and current works include statistical machine-learning methods for classification, regression, graphical models, clustering and variable selection as well as various topics related to The Cancer Genome Atlas (TCGA) data and imaging. He is a member of the Cancer Genetics Program at the UNC Lineberger Comprehensive Cancer Center.