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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...
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| Main Authors: | , , |
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| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
Oxford University Press
2012
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| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3259441/ https://ncbi.nlm.nih.gov/pubmed/22121159 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btr653 |
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