Enhanced metagenomic deep learning for disease prediction and consistent signature recognition by restructured microbiome 2D representations

Metagenomic analysis has been explored for disease diagnosis and biomarker discovery. Low sample sizes, high dimensionality, and sparsity of metagenomic data challenge metagenomic investigations. Here, an unsupervised microbial embedding, grouping, and mapping algorithm (MEGMA) was developed to tran...

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Detalles Bibliográficos
Autores principales: Shen, Wan Xiang, Liang, Shu Ran, Jiang, Yu Yang, Chen, Yu Zong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9868677/
https://www.ncbi.nlm.nih.gov/pubmed/36699735
http://dx.doi.org/10.1016/j.patter.2022.100658

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9868677/
https://www.ncbi.nlm.nih.gov/pubmed/36699735
http://dx.doi.org/10.1016/j.patter.2022.100658

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