From Machine Learning to Learning Machines - A Perspective toward Personalized Medicine

Abstract

We describe how to learn a network using a bottom-up approach by building networks from expression profiles. Then we can analyze these networks with different graph mining approaches and by studying topological behaviors. Finally, how we can achieve personalized medicine from the network biology.