Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: 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 splines is less crucial than for unregularized estimation and that (ii) for each component individually a suitable degree of freedom is selected in an automatic way. The performance is evaluated in a simulation study with artificial data as ll as on a yeast cell cycle dataset of gene expression levels over time.#R##N##R##N#Availability: The latest release version of the R package flexmix is available from CRAN ( http://cran.r-project.org/).#R##N##R##N#Contact: Bettina.Gruen@jku.at
['Bettina Grün', 'Theresa Scharl', 'Friedrich Leisch']
I am writing a research paper on a idea Modelling time course gene expression data with finite mixtures of linear additive models
[{"from": "human", "value": "I am writing a research paper on a idea Modelling time course gene expression data with finite mixtures of linear additive models"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: 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 splines is less crucial than for unregularized estimation and that (ii) for each component individually a suitable degree of freedom is selected in an automatic way. The performance is evaluated in a simulation study with artificial data as ll as on a yeast cell cycle dataset of gene expression levels over time.#R##N##R##N#Availability: The latest release version of the R package flexmix is available from CRAN ( http://cran.r-project.org/).#R##N##R##N#Contact: Bettina.Gruen@jku.at"}]