Probabilistic Graphical Models for Genetics, Genomics, and Postgenomics

Nowadays bioinformaticians and geneticists are faced with myriad high-throughput data usually presenting the characteristics of uncertainty, high dimensionality and large complexity. These data will only allow insights into this wealth of so-called ''omics'' data if represented by flexible and scalable models, prior to any further analysis. At the interface between statistics and machine learning,...