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GitHub / WevertonGomesCosta / Importance-of-markers-for-QTL-detection-by-machine-learning-methods

This Script is part of the article Machine Learning in Genome-Wide Association Studies for Complex Traits. Costa, W. G.et al. 2025

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/WevertonGomesCosta%2FImportance-of-markers-for-QTL-detection-by-machine-learning-methods

Stars: 0
Forks: 0
Open issues: 0

License: None
Language: R
Size: 67.8 MB
Dependencies parsed at: Pending

Created at: over 2 years ago
Updated at: 27 days ago
Pushed at: 27 days ago
Last synced at: 27 days ago

Topics: genomic-wide-association-studies, gwas, machine-learning, mars, neural-network, splines

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