Genetic analysis of coronary artery disease using tree-based automated machine learning informed by biology-based feature selection

Machine Learning (ML) approaches are increasingly being used in biomedical applications. Important challenges of ML include choosing the right algorithm and tuning the parameters for optimal performance. Automated ML (AutoML) methods, such as Tree-based Pipeline Optimization Tool (TPOT), have been d...

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Detalles Bibliográficos
Autores principales: Manduchi, Elisabetta, Le, Trang T., Fu, Weixuan, Moore, Jason H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9291719/
https://www.ncbi.nlm.nih.gov/pubmed/34310318
http://dx.doi.org/10.1109/TCBB.2021.3099068

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9291719/
https://www.ncbi.nlm.nih.gov/pubmed/34310318
http://dx.doi.org/10.1109/TCBB.2021.3099068

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