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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2022
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| Materias: | |
| 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 |