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A Machine Learning methodology is proposed for the modelling of metagenomic data and the diagnosis of T1D infants. • A new metagenomic signature was obtained highly correlated with T1D diagnosis. • Machine Learning algorithms are able to obtain great results with sparse metagenomic data. J o u r n a l P r e -p r o o f Journal Pre-proofdoi:10.1016/j.eswa.2021.115648 fatcat:wdi3t52pufdvfjkwume6pt6xpi