Graph mining for computational biology

Computational biology data often has a complex structure. Graphs have been shown to form good representations for such interconnected data. Graph mining aims at performing data mining on such graph-structured data. Two key challenges are the computational cost of graph algorithms and the fact that samples are often not independent. Recently, progress has been made towards addressing both challenges. In this project, we will consider the specific structure of computational biology data (genomics andproteomics) and develop specialized data mining algorithms for it.