Thesis Defense | January 16, 14:00
Maximum entropy models in the analysis of genome-wide data in cancer research
We show that various models in statistical modelling can be derived from the maximum entropy principle. As a particular example, we discuss the Ising model in the context of the inverse Ising problem. Applications of maximum entropy models in disentangling direct interaction from indirect correlation in cancer data will be introduced. Another application of maximum entropy models in semi-supervised cancer classification will also be discussed.
Chau Nguyen
Seminarraum 3 ETP
Contact: not specified