Cargando…
Scaling tree-based automated machine learning to biomedical big data with a feature set selector
MOTIVATION: Automated machine learning (AutoML) systems are helpful data science assistants designed to scan data for novel features, select appropriate supervised learning models and optimize their parameters. For this purpose, Tree-based Pipeline Optimization Tool (TPOT) was developed using strong...
Autores principales: | Le, Trang T, Fu, Weixuan, Moore, Jason H |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6956793/ https://www.ncbi.nlm.nih.gov/pubmed/31165141 http://dx.doi.org/10.1093/bioinformatics/btz470 |
Ejemplares similares
-
Embedding covariate adjustments in tree-based automated machine learning for biomedical big data analyses
por: Manduchi, Elisabetta, et al.
Publicado: (2020) -
Genetic analysis of coronary artery disease using tree-based automated machine learning informed by biology-based feature selection
por: Manduchi, Elisabetta, et al.
Publicado: (2022) -
Selectors
por: Jayne, John E, et al.
Publicado: (2001) -
TACITuS: transcriptomic data collector, integrator, and selector on big data platform
por: Alaimo, Salvatore, et al.
Publicado: (2019) -
Machine Learning and Integrative Analysis of Biomedical Big Data
por: Mirza, Bilal, et al.
Publicado: (2019)