Multi-class boosting for the analysis of multiple incomplete views on microbiome data

Abstract Background Microbiome dysbiosis has recently been associated with different diseases and disorders. In this context, machine learning (ML) approaches can be useful either to identify new patterns or learn predictive models. However, data to be fed to ML methods can be subject to different s...

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Detalhes bibliográficos

Principais autores:	Andrea Simeon, Miloš Radovanović, Tatjana Lončar-Turukalo, Michelangelo Ceci, Sanja Brdar, Gianvito Pio
Formato:	Artigo
Idioma:	Inglês
Publicado em:	BMC 2024-05-01
coleção:	BMC Bioinformatics
Assuntos:	Multi-view learning Incomplete views Multi-armed bandits Boosting Microbiome analysis
Acesso em linha:	https://doi.org/10.1186/s12859-024-05767-w
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