Machine learning approaches in microbiome research: challenges and best practices

Microbiome data predictive analysis within a machine learning (ML) workflow presents numerous domain-specific challenges involving preprocessing, feature selection, predictive modeling, performance estimation, model interpretation, and the extraction of biological information from the results. To as...

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Detalles Bibliográficos
Autores principales: Papoutsoglou, Georgios, Tarazona, Sonia, Lopes, Marta B., Klammsteiner, Thomas, Ibrahimi, Eliana, Eckenberger, Julia, Novielli, Pierfrancesco, Tonda, Alberto, Simeon, Andrea, Shigdel, Rajesh, Béreux, Stéphane, Vitali, Giacomo, Tangaro, Sabina, Lahti, Leo, Temko, Andriy, Claesson, Marcus J., Berland, Magali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Microbiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10556866/
https://www.ncbi.nlm.nih.gov/pubmed/37808286
http://dx.doi.org/10.3389/fmicb.2023.1261889

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10556866/
https://www.ncbi.nlm.nih.gov/pubmed/37808286
http://dx.doi.org/10.3389/fmicb.2023.1261889

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