SAERMA: Stacked Autoencoder Rule Mining Algorithm for the Interpretation of Epistatic Interactions in GWAS for Extreme Obesity-Reference-Cited by-同舟云学术

SAERMA: Stacked Autoencoder Rule Mining Algorithm for the Interpretation of Epistatic Interactions in GWAS for Extreme Obesity

Published:2020 Issue: Volume:8 Page:112379-112392
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Montanez Casimiro A. Curbelo^ORCID,Fergus Paul,Chalmers Carl,Malim Nurul Hashimah Ahamed Hassain^ORCID,Abdulaimma Basma,Reilly Denis,Falciani Francesco

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8948470/09119109.pdf?arnumber=9119109

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