Article

MDITRE: scalable and interpretable machine learning for predicting host status from temporal microbiome dynamics

2021-12-17

Abstract excerpt

Longitudinal microbiome datasets are being generated with increasing regularity, and there is broad recognition that these studies are critical for unlocking the mechanisms through which the microbiome impacts human health and disease. Yet, there is a dearth of computational tools for analyzing microbiome time-series data. To address this gap, we developed an open-source software package, MDITRE, which implements...

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Literature Corpus work: 55c78aff-64d8-53d1-9faf-025e72172184
DOI: 10.1101/2021.12.15.472835

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