Disease Subtyping

Majority of the diseases are very heterogeneous. To move us closer to precision medicine, we have to identify more homogeneous subtypes with the corresponding genetic signatures. We have developed a graph-based clustering and feature ranking method that is robust to noise measurement and large numbers of irrelevant features, helping us to identify more clinically relevant subtypes.
link to paper