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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2020
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| Materias: | |
| 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 |