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"SAERMA: Stacked Autoencoder Rule Mining Algorithm for the Interpretation ..."
Casimiro Aday Curbelo Montañez et al. (2019)
- Casimiro Aday Curbelo Montañez, Paul Fergus, Carl Chalmers, Nurul Hashimah Ahamed Hassain Malim, Basma Abdulaimma, Denis Reilly, Francesco Falciani:
SAERMA: Stacked Autoencoder Rule Mining Algorithm for the Interpretation of Epistatic Interactions in GWAS for Extreme Obesity. CoRR abs/1908.10166 (2019)
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