Combining latent tree modeling with a random forest-based approach, for genetic association studies

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Communication dans un congrès
26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN2018, Apr 2018, Bruges, Belgium. pp.225-230, 2018, ESANN 2018 - Proceedings 26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
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https://hal.archives-ouvertes.fr/hal-01984665
Contributeur : Christine Sinoquet <>
Soumis le : jeudi 17 janvier 2019 - 10:57:53
Dernière modification le : lundi 21 janvier 2019 - 15:11:39

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  • HAL Id : hal-01984665, version 1

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Christine Sinoquet, Kamel Mekhnacha. Combining latent tree modeling with a random forest-based approach, for genetic association studies. 26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN2018, Apr 2018, Bruges, Belgium. pp.225-230, 2018, ESANN 2018 - Proceedings 26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. 〈hal-01984665〉

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