Normalized maximum likelihood models for genomics

We present NML models for discrete models and show how to apply the Minimum Description Principle to them to obtain structure information. Then we summarize methods derived in our previous works, and we treat in a unified manner all the usual discrete models. In the last part we describe important applications of the proposed models to disease classification.