CACONET: a novel classification framework for microbial correlation networks

MOTIVATION: Existing microbiome-based disease prediction relies on the ability of machine learning methods to differentiate disease from healthy subjects based on the observed taxa abundance across samples. Despite numerous microbes have been implicated as potential biomarkers, challenges remain due...

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Detalles Bibliográficos
Autores principales: Xu, Yuanwei, Nash, Katrina, Acharjee, Animesh, Gkoutos, Georgios V
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8896646/
https://www.ncbi.nlm.nih.gov/pubmed/34983063
http://dx.doi.org/10.1093/bioinformatics/btab879

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8896646/
https://www.ncbi.nlm.nih.gov/pubmed/34983063
http://dx.doi.org/10.1093/bioinformatics/btab879

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