Embedding covariate adjustments in tree-based automated machine learning for biomedical big data analyses

BACKGROUND: A typical task in bioinformatics consists of identifying which features are associated with a target outcome of interest and building a predictive model. Automated machine learning (AutoML) systems such as the Tree-based Pipeline Optimization Tool (TPOT) constitute an appealing approach...

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Detalles Bibliográficos
Autores principales: Manduchi, Elisabetta, Fu, Weixuan, Romano, Joseph D., Ruberto, Stefano, Moore, Jason H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7528347/
https://www.ncbi.nlm.nih.gov/pubmed/32998684
http://dx.doi.org/10.1186/s12859-020-03755-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7528347/
https://www.ncbi.nlm.nih.gov/pubmed/32998684
http://dx.doi.org/10.1186/s12859-020-03755-4

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