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SAERMA: Stacked Autoencoder Rule Mining Algorithm for the I..:
Montanez, Casimiro A. Curbelo
;
Fergus, Paul
;
Chalmers, Carl
...
IEEE Access. 8 (2020) - p. 112379-112392 , 2020
Link:
https://doi.org/10.1109/access.2020.3002923
RT Journal T1
SAERMA: Stacked Autoencoder Rule Mining Algorithm for the Interpretation of Epistatic Interactions in GWAS for Extreme Obesity
UL https://suche.suub.uni-bremen.de/peid=cr-10.1109_access.2020.3002923&Exemplar=1&LAN=DE A1 Montanez, Casimiro A. Curbelo A1 Fergus, Paul A1 Chalmers, Carl A1 Malim, Nurul Hashimah Ahamed Hassain A1 Abdulaimma, Basma A1 Reilly, Denis A1 Falciani, Francesco PB Institute of Electrical and Electronics Engineers (IEEE) YR 2020 SN 2169-3536 JF IEEE Access VO 8 SP 112379 OP 112392 LK http://dx.doi.org/https://doi.org/10.1109/access.2020.3002923 DO https://doi.org/10.1109/access.2020.3002923 SF ELIB - SuUB Bremen
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