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A model selection criterion for unsupervised model-based clustering of annotated data: applications to the analysis of RNA-seq

Mélina Gallopin 1, 2 Gilles Celeux 2 Florence Jaffrezic 1 Andrea Rau 1 
2 SELECT - Model selection in statistical learning
Inria Saclay - Ile de France, LMO - Laboratoire de Mathématiques d'Orsay
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Conference papers
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https://hal.inria.fr/hal-01096332
Contributor : Mélina Gallopin Connect in order to contact the contributor
Submitted on : Wednesday, December 17, 2014 - 11:47:01 AM
Last modification on : Friday, August 5, 2022 - 2:38:10 PM

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  • HAL Id : hal-01096332, version 1
  • PRODINRA : 313600

Citation

Mélina Gallopin, Gilles Celeux, Florence Jaffrezic, Andrea Rau. A model selection criterion for unsupervised model-based clustering of annotated data: applications to the analysis of RNA-seq. XXVII International Biometric Conference, Jul 2014, Florence, Italy. ⟨hal-01096332⟩

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