Modelling time course gene expression data with finite mixtures of linear additive models

Summary: A model class of finite mixtures of linear additive models is presented. The component-specific parameters in the regression models are estimated using regularized likelihood methods. The advantages of the regularization are that (i) the pre-specified maximum degrees of freedom for the spli...

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Detalles Bibliográficos
Autores principales: Grün, Bettina, Scharl, Theresa, Leisch, Friedrich
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2012
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3259441/
https://www.ncbi.nlm.nih.gov/pubmed/22121159
http://dx.doi.org/10.1093/bioinformatics/btr653

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3259441/
https://www.ncbi.nlm.nih.gov/pubmed/22121159
http://dx.doi.org/10.1093/bioinformatics/btr653

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