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Por favor, use este identificador para citar o enlazar este ítem: http://uvadoc.uva.es/handle/10324/22921
Título: Circular Piecewise Regression with an application to cell-cycle gene Biology
Autor: Rueda, Cristina
Fernández, Miguel
Barragán, Sandra
Peddada, Shyamal
Mardia, Kanti
Año del Documento: 2016
Editorial: Wiley
Documento Fuente: Biometrics 72(4), pp 1266-1274
Resumen: 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 procedure based on the concept of generalized degrees of freedom. The model is then applied to the analysis of two different cell-cycle data sets and through these examples we highlight the power of our new methodology.
Revisión por Pares: SI
DOI: 10.1111/biom.12512
Patrocinador: Ministerio de Ciencia e Innovación grant (MTM2012-37129)
Junta de Castilla y León, Consejería de Educación and the European Social Fund
Intramural Research Program of the National Institute of Environmental Health Sciences (NIEHS) [Z01 ES101744-04]
Version del Editor: http://onlinelibrary.wiley.com/doi/10.1111/biom.12512/abstract;jsessionid=4649BAE88C1AF5513260415AD31B4268.f04t02
Propietario de los Derechos: Wiley
Idioma: eng
URI: http://uvadoc.uva.es/handle/10324/22921
Derechos: info:eu-repo/semantics/openAccess
Aparece en las colecciones:DEP24 - Artículos de revista

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