Probabilistic graphical model representation in phylogenetics.

ABSTRACT: Recent years have seen a rapid expansion of the model space explored in statistical phylogenetics, emphasizing the need for new approaches to statistical model representation and software development. Clear communication and representation of the chosen model is crucial for: (i) reproducibility of an analysis, (ii) model development, and (iii) software design. Moreover, a unified, clear and understandable framework for model representation lowers the barrier for beginners and nonspecialists to grasp complex phylogenetic models, including their assumptions and parameter/variable dependencies. Graphical modeling is a unifying framework that has gained in popularity in the statistical literature in recent years. The core idea is to break complex models into conditionally independent distribut

SUBMITTER: Hohna S 

PROVIDER: S-EPMC4184382 | biostudies-literature | 2014 Sep

REPOSITORIES: biostudies-literature