Human Gut Microbiome Aging Clock Based on Taxonomic Profiling and Deep Learning.
作者： Fedor Galkin , Polina Mamoshina , Alex Aliper , Evgeny Putin , Vladimir Moskalev
DOI: 10.1016/J.ISCI.2020.101199
关键词:
摘要: The human gut microbiome is a complex ecosystem that both affects and affected by its host status. Previous metagenomic analyses of microflora revealed associations between specific microbes age. Nonetheless there was no reliable way to tell host's age based on the community composition. Here we developed method predicting hosts' taxonomic profiles using cross-study dataset deep learning. Our best model has an architecture neural network achieves mean absolute error 5.91 years when tested external data. We further advance procedure for inferring role particular during aging defining them as potential biomarkers. described intestinal clock represents unique quantitative provides starting point building succession into single narrative.
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