Circular piecewise regression with applications to cell-cycle data.

ABSTRACT: Applications of circular regression models appear in many different fields such as evolutionary psychology, motor behavior, biology, and, in particular, in the analysis of gene expressions in oscillatory systems. Specifically, for the gene expression problem, a researcher may be interested in modeling the relationship among the phases of cell-cycle genes in two species with differing periods. This challenging problem reduces to the problem of constructing a piecewise circular regression model and, with this objective in mind, we propose a flexible circular regression model which allows different parameter values depending on sectors along the circle. We give a detailed interpretation of the parameters in the model and provide maximum likelihood estimators. We also provide a model selection

SUBMITTER: Rueda C 

PROVIDER: S-EPMC5026859 | biostudies-literature | 2016 Dec

REPOSITORIES: biostudies-literature