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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2012
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| Materias: | |
| 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 |