Using machine learning to predict disease risk

Liu J., Sun S., and J. Xing

In this study, a machine learning classifier was trained to predict patient aneuploidy risk.

Candidate genes were identified using a novel approach.

Identifying modules in biological networks

In this study, the PAPER (Preferential Attachment Plus Erdos Renyi) model was implemented to partition biological networks into the underlying processes.

We show that our algorithm outperforms other leading methods.